From a549d5a819e9d72164ae1f7f7bb9be4196fc5d9b Mon Sep 17 00:00:00 2001 From: Vadim Liventsev Date: Wed, 16 Sep 2020 11:20:48 +0200 Subject: [PATCH] Heart attack proclivity --- HeartPole.ipynb | 14212 ++++------------------------------------ heartpole/__init__.py | 17 +- 2 files changed, 1367 insertions(+), 12862 deletions(-) diff --git a/HeartPole.ipynb b/HeartPole.ipynb index 2f3f1ec..ae09463 100644 --- a/HeartPole.ipynb +++ b/HeartPole.ipynb @@ -61,12 +61,12 @@ "output_type": "stream", "text": [ "Requirement already satisfied: gym in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (0.17.2)\n", + "Requirement already satisfied: pyglet<=1.5.0,>=1.4.0 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from gym) (1.5.0)\n", "Requirement already satisfied: scipy in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from gym) (1.3.1)\n", "Requirement already satisfied: numpy>=1.10.4 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from gym) (1.19.0)\n", - "Requirement already satisfied: pyglet<=1.5.0,>=1.4.0 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from gym) (1.5.0)\n", "Requirement already satisfied: cloudpickle<1.4.0,>=1.2.0 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from gym) (1.2.2)\n", "Requirement already satisfied: future in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from pyglet<=1.5.0,>=1.4.0->gym) (0.18.0)\n", - "\u001b[33mYou are using pip version 19.0.3, however version 20.2.2 is available.\n", + "\u001b[33mYou are using pip version 19.0.3, however version 20.2.3 is available.\n", "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n" ] } @@ -102,12 +102,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "location -0.4081504082793652, speed 0.0\n", - "location -0.40754237370992313, speed 0.0006080345694420785\n", - "location -0.4072608049751439, speed 0.00028156873477927155\n", - "location -0.4069773946923004, speed 0.0002834102828434973\n", - "location -0.40870007684007154, speed -0.0017226821477711375\n", - "location -0.4108505722228309, speed -0.002150495382759356\n" + "location -0.5212944403172561, speed 0.0\n", + "location -0.5214880751653233, speed -0.00019363484806713432\n", + "location -0.5204104041127724, speed 0.001077671052550878\n", + "location -0.518938315020942, speed 0.0014720890918303526\n", + "location -0.5168326558420309, speed 0.002105659178911124\n", + "location -0.5150076376709338, speed 0.0018250181710969947\n" ] } ], @@ -215,7 +215,7 @@ { "data": { "text/plain": [ - "array([-0.23644245], dtype=float32)" + "array([-0.3828633], dtype=float32)" ] }, "execution_count": 7, @@ -255,7 +255,7 @@ { "data": { "text/plain": [ - "array([-1.0045683 , 0.00124736], dtype=float32)" + "array([-0.98118836, -0.06498322], dtype=float32)" ] }, "execution_count": 9, @@ -403,7 +403,7 @@ { "data": { "text/plain": [ - "{'alertness': 1.2833412516585907,\n", + "{'alertness': 1.139388569045376,\n", " 'hypertension': 0,\n", " 'intoxication': 0,\n", " 'time_since_slept': 0,\n", @@ -447,8 +447,8 @@ { "data": { "text/plain": [ - "{'alertness': 1.5712179408533462,\n", - " 'hypertension': 0.25536852371210234,\n", + "{'alertness': 1.9749997381422668,\n", + " 'hypertension': 0.2799835932936571,\n", " 'intoxication': 0,\n", " 'time_since_slept': 0,\n", " 'time_elapsed': 0,\n", @@ -493,9 +493,9 @@ { "data": { "text/plain": [ - "{'alertness': 1.1435855054781827,\n", - " 'hypertension': 0.4007317410935629,\n", - " 'intoxication': 0.02512453857781692,\n", + "{'alertness': 1.735892851530049,\n", + " 'hypertension': 0.36651870820839466,\n", + " 'intoxication': 0.011394355564560548,\n", " 'time_since_slept': 0,\n", " 'time_elapsed': 0,\n", " 'work_done': 0}" @@ -527,8 +527,8 @@ "def sigmoid(x):\n", " return 1 / (1 + np.exp(-x))\n", "\n", - "def heart_attack_risk(hypertension):\n", - " return sigmoid(hypertension - 6)" + "def heart_attack_risk(hypertension, heart_attack_proclivity=0.5):\n", + " return heart_attack_proclivity * sigmoid(hypertension - 6)" ] }, { @@ -539,7 +539,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 19, @@ -548,7 +548,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -586,8 +586,8 @@ } ], "source": [ - "def heart_attack_occured(state):\n", - " return np.random.uniform(0, 1) < heart_attack_risk(state['hypertension'])\n", + "def heart_attack_occured(state, heart_attack_proclivity=0.5):\n", + " return np.random.uniform(0, 1) < heart_attack_risk(state['hypertension'], heart_attack_proclivity)\n", "heart_attack_occured(state)" ] }, @@ -618,7 +618,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 22, @@ -689,9 +689,9 @@ { "data": { "text/plain": [ - "{'alertness': 1.1255992955160912,\n", - " 'hypertension': 0.388709788860756,\n", - " 'intoxication': 0.024370802420482413,\n", + "{'alertness': 1.7179066415679574,\n", + " 'hypertension': 0.3555231469621428,\n", + " 'intoxication': 0.011052524897623732,\n", " 'time_since_slept': 1,\n", " 'time_elapsed': 1,\n", " 'work_done': 0}" @@ -732,7 +732,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 27, @@ -794,7 +794,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 29, @@ -843,9 +843,9 @@ { "data": { "text/plain": [ - "{'alertness': 1.1255992955160912,\n", - " 'hypertension': 0.388709788860756,\n", - " 'intoxication': 0.024370802420482413,\n", + "{'alertness': 1.7179066415679574,\n", + " 'hypertension': 0.3555231469621428,\n", + " 'intoxication': 0.011052524897623732,\n", " 'time_since_slept': 1,\n", " 'time_elapsed': 1,\n", " 'work_done': 0}" @@ -868,7 +868,7 @@ { "data": { "text/plain": [ - "0.7638015394347899" + "1.1769041833292344" ] }, "execution_count": 32, @@ -899,12 +899,12 @@ { "data": { "text/plain": [ - "{'alertness': 1.1057589897820137,\n", - " 'hypertension': 0.37704849519493333,\n", - " 'intoxication': 0.02363967834786794,\n", + "{'alertness': 1.69806633583388,\n", + " 'hypertension': 0.34485745255327854,\n", + " 'intoxication': 0.01072094915069502,\n", " 'time_since_slept': 2,\n", " 'time_elapsed': 2,\n", - " 'work_done': 0.7638015394347899}" + " 'work_done': 1.1769041833292344}" ] }, "execution_count": 34, @@ -1003,12 +1003,12 @@ { "data": { "text/plain": [ - "{'alertness': 1.1057589897820137,\n", - " 'hypertension': 0.37704849519493333,\n", - " 'intoxication': 0.02363967834786794,\n", + "{'alertness': 1.69806633583388,\n", + " 'hypertension': 0.34485745255327854,\n", + " 'intoxication': 0.01072094915069502,\n", " 'time_since_slept': 2,\n", " 'time_elapsed': 2,\n", - " 'work_done': 0.7638015394347899}" + " 'work_done': 1.1769041833292344}" ] }, "execution_count": 37, @@ -1074,11 +1074,12 @@ "outputs": [], "source": [ "class HeartPole(gym.Env):\n", - " def __init__(self):\n", + " def __init__(self, heart_attack_proclivity=0.5):\n", " self.actions = actions\n", " self.observations = observations\n", " self.action_space = heartpole_action_space\n", " self.observation_space = make_heartpole_obs_space()\n", + " self.heart_attack_proclivity = heart_attack_proclivity\n", " self.log = ''\n", " \n", " def observation(self):\n", @@ -1114,10 +1115,14 @@ " \n", " reward = new_score - old_score\n", " \n", - " if heart_attack_occured(self.state):\n", + " if heart_attack_occured(self.state, self.heart_attack_proclivity):\n", " # We would like to avoid this\n", " reward -= 100\n", " \n", + " # A heart attack is like purgatory - painful, but cleansing\n", + " # You can tell I am not a doctor\n", + " self.state['hypertension'] = 0\n", + " \n", " self.log += str(self.state) + '\\n'\n", " return self.observation(), reward, False, {}\n", " \n", @@ -1164,20 +1169,20 @@ "output_type": "stream", "text": [ "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9853478996318044, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1, 'work_done': 0.8163703217995825}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7722006353586487, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 17, 'work_done': 0.6580434292110483}\n", "\n", - "Chosen action: drink_coffee\n", - "{'alertness': 1.7614596774949347, 'hypertension': 0.05122478720057332, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 2, 'work_done': 2.0869443821617364}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7869557267550472, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 34, 'work_done': 1.3273907127168645}\n", "\n", "Chosen action: do_nothing\n", - "{'alertness': 1.7395784065588042, 'hypertension': 0.04968804358455612, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 3, 'work_done': 3.3490236199588552}\n", + "{'alertness': 0.7671154210209697, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 35, 'work_done': 1.9829524592255678}\n", "\n", - "Chosen action: sleep\n", - "{'alertness': 0.7652338891263304, 'hypertension': 0.02960543043606994, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 20, 'work_done': 4.001713380114022}\n", + "Chosen action: do_nothing\n", + "{'alertness': 0.7452341500848393, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 36, 'work_done': 2.6232265437509885}\n", "\n", - "Chosen action: drink_coffee\n", - "{'alertness': 1.7350382947387746, 'hypertension': 0.2670090591633278, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 21, 'work_done': 5.2609331998450575}\n", + "Chosen action: sleep\n", + "{'alertness': 1.0979404225554534, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 53, 'work_done': 3.518453533440179}\n", "\n" ] } @@ -1220,7 +1225,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -1231,7 +1236,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1239,20 +1244,20 @@ "output_type": "stream", "text": [ "\n", - "Chosen action: drink_coffee\n", - "{'alertness': 1.642777600188462, 'hypertension': 0.026270791962640656, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1, 'work_done': 1.2161059103519332}\n", + "Chosen action: sleep\n", + "{'alertness': 0.956015130507798, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 17, 'work_done': 0.7952518047425368}\n", "\n", "Chosen action: drink_beer\n", - "{'alertness': 1.5740047363998722, 'hypertension': 0.05195982316457359, 'intoxication': 0.027289255059966554, 'time_since_slept': 2, 'time_elapsed': 2, 'work_done': 2.174921120150138}\n", + "{'alertness': 0.7871835207383427, 'hypertension': 0.16689157358401005, 'intoxication': 0.02498348341360805, 'time_since_slept': 2, 'time_elapsed': 18, 'work_done': 1.3547797157628843}\n", "\n", - "Chosen action: drink_beer\n", - "{'alertness': 1.4366015173862539, 'hypertension': 0.11583566987903755, 'intoxication': 0.04184447914598819, 'time_since_slept': 3, 'time_elapsed': 3, 'work_done': 2.877622190453214}\n", + "Chosen action: sleep\n", + "{'alertness': 1.1283641898890902, 'hypertension': 0.09943834604193133, 'intoxication': 0.01488581008414216, 'time_since_slept': 1, 'time_elapsed': 35, 'work_done': 2.1969586550340936}\n", "\n", "Chosen action: do_nothing\n", - "{'alertness': 1.4124744959685847, 'hypertension': 0.11236059978266642, 'intoxication': 0.04058914477160854, 'time_since_slept': 4, 'time_elapsed': 4, 'work_done': 3.5909850093827362}\n", + "{'alertness': 1.1085238841550127, 'hypertension': 0.09645519566067338, 'intoxication': 0.014439235781617894, 'time_since_slept': 2, 'time_elapsed': 36, 'work_done': 3.0307809359414644}\n", "\n", - "Chosen action: drink_beer\n", - "{'alertness': 1.2438285660158293, 'hypertension': 0.11785322552113489, 'intoxication': 0.06012642340417647, 'time_since_slept': 5, 'time_elapsed': 5, 'work_done': 3.9735109673097693}\n", + "Chosen action: do_nothing\n", + "{'alertness': 1.0866426132188822, 'hypertension': 0.09356153979085317, 'intoxication': 0.014006058708169357, 'time_since_slept': 3, 'time_elapsed': 37, 'work_done': 3.854774107432126}\n", "\n" ] } @@ -1275,7 +1280,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1284,14 +1289,14 @@ "text": [ "Requirement already satisfied: keras-rl in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (0.4.2)\n", "Requirement already satisfied: keras>=2.0.7 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras-rl) (2.3.1)\n", - "Requirement already satisfied: pyyaml in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (5.1.2)\n", - "Requirement already satisfied: six>=1.9.0 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.12.0)\n", - "Requirement already satisfied: scipy>=0.14 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.3.1)\n", - "Requirement already satisfied: h5py in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (2.10.0)\n", "Requirement already satisfied: keras-applications>=1.0.6 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.0.8)\n", + "Requirement already satisfied: pyyaml in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (5.1.2)\n", "Requirement already satisfied: keras-preprocessing>=1.0.5 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.1.0)\n", + "Requirement already satisfied: h5py in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (2.10.0)\n", "Requirement already satisfied: numpy>=1.9.1 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.19.0)\n", - "\u001b[33mYou are using pip version 19.0.3, however version 20.2 is available.\n", + "Requirement already satisfied: six>=1.9.0 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.12.0)\n", + "Requirement already satisfied: scipy>=0.14 in /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.3.1)\n", + "\u001b[33mYou are using pip version 19.0.3, however version 20.2.3 is available.\n", "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n" ] } @@ -1309,7 +1314,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1354,7 +1359,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 47, "metadata": { "scrolled": false }, @@ -1363,27 +1368,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "Model: \"sequential_3\"\n", + "WARNING:tensorflow:From /home/vadim0x60/.pyenv/versions/3.7.4/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n", + "Instructions for updating:\n", + "If using Keras pass *_constraint arguments to layers.\n", + "Model: \"sequential_1\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", - "flatten_3 (Flatten) (None, 6) 0 \n", + "flatten_1 (Flatten) (None, 6) 0 \n", "_________________________________________________________________\n", - "dense_9 (Dense) (None, 16) 112 \n", + "dense_1 (Dense) (None, 16) 112 \n", "_________________________________________________________________\n", - "activation_9 (Activation) (None, 16) 0 \n", + "activation_1 (Activation) (None, 16) 0 \n", "_________________________________________________________________\n", - "dense_10 (Dense) (None, 16) 272 \n", + "dense_2 (Dense) (None, 16) 272 \n", "_________________________________________________________________\n", - "activation_10 (Activation) (None, 16) 0 \n", + "activation_2 (Activation) (None, 16) 0 \n", "_________________________________________________________________\n", - "dense_11 (Dense) (None, 16) 272 \n", + "dense_3 (Dense) (None, 16) 272 \n", "_________________________________________________________________\n", - "activation_11 (Activation) (None, 16) 0 \n", + "activation_3 (Activation) (None, 16) 0 \n", "_________________________________________________________________\n", - "dense_12 (Dense) (None, 4) 68 \n", + "dense_4 (Dense) (None, 4) 68 \n", "_________________________________________________________________\n", - "activation_12 (Activation) (None, 4) 0 \n", + "activation_4 (Activation) (None, 4) 0 \n", "=================================================================\n", "Total params: 724\n", "Trainable params: 724\n", @@ -1408,384 +1416,116 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Training for 300000 steps ...\n", - " 1000/300000: episode: 1, duration: 4.803s, episode steps: 1000, steps per second: 208, episode reward: -399.965, mean reward: -0.400 [-100.001, 0.410], mean action: 2.540 [0.000, 3.000], mean observation: 1260.415 [-12.124, 13848.000], loss: 22.375533, mae: 133.659883, mean_q: 295.100736\n", - " 2000/300000: episode: 2, duration: 4.227s, episode steps: 1000, steps per second: 237, episode reward: -299.913, mean reward: -0.300 [-100.005, 0.052], mean action: 1.288 [0.000, 3.000], mean observation: 495.636 [-5.800, 7864.000], loss: 15.227278, mae: 62.714941, mean_q: -17.149305\n", - " 3000/300000: episode: 3, duration: 4.403s, episode steps: 1000, steps per second: 227, episode reward: -500.076, mean reward: -0.500 [-100.002, 0.444], mean action: 2.506 [0.000, 3.000], mean observation: 1177.637 [-1340.481, 14312.000], loss: 25.796280, mae: 290.538257, mean_q: -32.402672\n", - " 4000/300000: episode: 4, duration: 4.293s, episode steps: 1000, steps per second: 233, episode reward: -199.952, mean reward: -0.200 [-100.000, 0.057], mean action: 2.991 [0.000, 3.000], mean observation: 1478.695 [0.000, 16952.000], loss: 17.372171, mae: 223.446095, mean_q: -17.479245\n", - " 5000/300000: episode: 5, duration: 4.388s, episode steps: 1000, steps per second: 228, episode reward: -299.952, mean reward: -0.300 [-100.000, 0.983], mean action: 2.988 [0.000, 3.000], mean observation: 1472.634 [0.000, 16920.000], loss: 21.251852, mae: 109.394534, mean_q: 4.257830\n", - " 6000/300000: episode: 6, duration: 4.404s, episode steps: 1000, steps per second: 227, episode reward: -399.950, mean reward: -0.400 [-100.000, 0.993], mean action: 2.905 [0.000, 3.000], mean observation: 1395.937 [0.000, 16440.000], loss: 19.967158, mae: 114.621873, mean_q: -22.921711\n", - " 7000/300000: episode: 7, duration: 4.475s, episode steps: 1000, steps per second: 223, episode reward: -199.952, mean reward: -0.200 [-100.000, 1.007], mean action: 2.975 [0.000, 3.000], mean observation: 1456.706 [0.000, 16824.000], loss: 10.114364, mae: 152.105558, mean_q: -41.081330\n", - " 8000/300000: episode: 8, duration: 4.530s, episode steps: 1000, steps per second: 221, episode reward: -299.933, mean reward: -0.300 [-100.000, 0.637], mean action: 2.481 [0.000, 3.000], mean observation: 983.387 [0.000, 12840.000], loss: 15.071260, mae: 71.253829, mean_q: -10.985687\n", - " 9000/300000: episode: 9, duration: 4.597s, episode steps: 1000, steps per second: 218, episode reward: -399.951, mean reward: -0.400 [-100.000, 0.505], mean action: 2.971 [0.000, 3.000], mean observation: 1444.497 [0.000, 16744.000], loss: 20.045785, mae: 97.822597, mean_q: -35.844757\n", - " 10000/300000: episode: 10, duration: 4.691s, episode steps: 1000, steps per second: 213, episode reward: -299.950, mean reward: -0.300 [-100.005, 1.355], mean action: 2.932 [0.000, 3.000], mean observation: 1401.657 [0.000, 16472.000], loss: 15.191466, mae: 67.704619, mean_q: -14.393205\n", - " 11000/300000: episode: 11, duration: 4.826s, episode steps: 1000, steps per second: 207, episode reward: -299.952, mean reward: -0.300 [-100.001, 1.306], mean action: 2.962 [0.000, 3.000], mean observation: 1435.906 [0.000, 16696.000], loss: 15.066466, mae: 68.034318, mean_q: -8.694383\n", - " 12000/300000: episode: 12, duration: 4.830s, episode steps: 1000, steps per second: 207, episode reward: 0.049, mean reward: 0.000 [-0.741, 0.999], mean action: 2.947 [0.000, 3.000], mean observation: 1423.834 [0.000, 16616.000], loss: 0.105135, mae: 63.671631, mean_q: -1.286798\n", - " 13000/300000: episode: 13, duration: 4.931s, episode steps: 1000, steps per second: 203, episode reward: -399.950, mean reward: -0.400 [-100.000, 0.973], mean action: 2.903 [0.000, 3.000], mean observation: 1368.438 [-0.083, 16264.000], loss: 20.090264, mae: 104.418152, mean_q: -27.239003\n", - " 14000/300000: episode: 14, duration: 5.053s, episode steps: 1000, steps per second: 198, episode reward: -299.951, mean reward: -0.300 [-100.000, 0.377], mean action: 2.909 [0.000, 3.000], mean observation: 1381.548 [0.000, 16360.000], loss: 17.334137, mae: 88.803244, mean_q: -18.968728\n", - " 15000/300000: episode: 15, duration: 4.735s, episode steps: 1000, steps per second: 211, episode reward: -199.951, mean reward: -0.200 [-100.000, 0.051], mean action: 2.966 [0.000, 3.000], mean observation: 1433.303 [0.000, 16680.000], loss: 10.088813, mae: 42.185113, mean_q: -12.583387\n", - " 16000/300000: episode: 16, duration: 4.074s, episode steps: 1000, steps per second: 245, episode reward: -299.928, mean reward: -0.300 [-100.000, 0.516], mean action: 2.365 [0.000, 3.000], mean observation: 939.584 [-1.071, 11816.000], loss: 15.120929, mae: 24.744993, mean_q: -4.009839\n", - " 17000/300000: episode: 17, duration: 4.116s, episode steps: 1000, steps per second: 243, episode reward: -199.952, mean reward: -0.200 [-100.000, 0.511], mean action: 2.952 [0.000, 3.000], mean observation: 1415.595 [0.000, 16584.000], loss: 10.038350, mae: 43.725637, mean_q: -7.149984\n", - " 18000/300000: episode: 18, duration: 4.160s, episode steps: 1000, steps per second: 240, episode reward: -999.944, mean reward: -1.000 [-100.001, 0.651], mean action: 2.475 [0.000, 3.000], mean observation: 880.983 [-24.383, 12184.000], loss: 55.370993, mae: 84.716035, mean_q: -62.441537\n", - " 19000/300000: episode: 19, duration: 4.194s, episode steps: 1000, steps per second: 238, episode reward: -299.950, mean reward: -0.300 [-100.000, 0.956], mean action: 2.873 [0.000, 3.000], mean observation: 1319.258 [-0.165, 15976.000], loss: 15.663800, mae: 56.762473, mean_q: -30.067953\n", - " 20000/300000: episode: 20, duration: 4.209s, episode steps: 1000, steps per second: 238, episode reward: -299.937, mean reward: -0.300 [-100.000, 0.058], mean action: 1.934 [0.000, 3.000], mean observation: 644.781 [-15.668, 9032.000], loss: 15.674736, mae: 20.995944, mean_q: -10.972054\n", - " 21000/300000: episode: 21, duration: 4.281s, episode steps: 1000, steps per second: 234, episode reward: -199.951, mean reward: -0.200 [-100.000, 0.064], mean action: 2.929 [0.000, 3.000], mean observation: 1390.887 [0.000, 16424.000], loss: 12.270244, mae: 61.954955, mean_q: -19.117663\n", - " 22000/300000: episode: 22, duration: 4.273s, episode steps: 1000, steps per second: 234, episode reward: -299.942, mean reward: -0.300 [-100.000, 1.097], mean action: 2.376 [0.000, 3.000], mean observation: 903.392 [-0.304, 12840.000], loss: 15.329666, mae: 39.930458, mean_q: -14.007284\n", - " 23000/300000: episode: 23, duration: 4.504s, episode steps: 1000, steps per second: 222, episode reward: -299.951, mean reward: -0.300 [-100.000, 0.059], mean action: 2.911 [0.000, 3.000], mean observation: 1363.849 [-0.094, 16248.000], loss: 15.919181, mae: 53.748276, mean_q: -23.116588\n", - " 24000/300000: episode: 24, duration: 4.331s, episode steps: 1000, steps per second: 231, episode reward: -99.865, mean reward: -0.100 [-100.000, 0.740], mean action: 1.510 [0.000, 3.000], mean observation: 598.973 [0.000, 6520.000], loss: 5.109109, mae: 10.741875, mean_q: -12.525204\n", - " 25000/300000: episode: 25, duration: 4.431s, episode steps: 1000, steps per second: 226, episode reward: -199.915, mean reward: -0.200 [-100.000, 1.142], mean action: 1.931 [0.000, 3.000], mean observation: 573.011 [-11.530, 7896.000], loss: 10.102449, mae: 6.059918, mean_q: 1.913171\n", - " 26000/300000: episode: 26, duration: 4.690s, episode steps: 1000, steps per second: 213, episode reward: -99.974, mean reward: -0.100 [-100.000, 0.048], mean action: 1.745 [0.000, 3.000], mean observation: 1067.206 [-25.879, 10104.000], loss: 5.276531, mae: 17.784769, mean_q: -3.629982\n", - " 27000/300000: episode: 27, duration: 4.962s, episode steps: 1000, steps per second: 202, episode reward: -399.953, mean reward: -0.400 [-100.002, 1.227], mean action: 2.331 [0.000, 3.000], mean observation: 906.238 [-16.189, 12952.000], loss: 32.617803, mae: 43.364176, mean_q: -6.634036\n", - " 28000/300000: episode: 28, duration: 4.864s, episode steps: 1000, steps per second: 206, episode reward: -301.618, mean reward: -0.302 [-99.999, 0.419], mean action: 0.836 [0.000, 3.000], mean observation: 153.156 [-5371.695, 3288.000], loss: 927.041931, mae: 133.712722, mean_q: -79.226576\n", - " 29000/300000: episode: 29, duration: 4.879s, episode steps: 1000, steps per second: 205, episode reward: -500.491, mean reward: -0.500 [-100.008, 0.263], mean action: 1.321 [0.000, 3.000], mean observation: 373.766 [-2071.321, 4200.000], loss: 57.215631, mae: 16.179713, mean_q: -14.888166\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 30000/300000: episode: 30, duration: 4.889s, episode steps: 1000, steps per second: 205, episode reward: -501.593, mean reward: -0.502 [-100.013, 0.728], mean action: 1.176 [0.000, 3.000], mean observation: 305.428 [-7184.733, 4504.000], loss: 405.649144, mae: 78.358935, mean_q: -84.330865\n", - " 31000/300000: episode: 31, duration: 4.971s, episode steps: 1000, steps per second: 201, episode reward: -900.640, mean reward: -0.901 [-100.015, 0.707], mean action: 1.263 [0.000, 3.000], mean observation: 420.546 [-3109.316, 4856.000], loss: 59.714775, mae: 13.214842, mean_q: -13.194133\n", - " 32000/300000: episode: 32, duration: 4.948s, episode steps: 1000, steps per second: 202, episode reward: -299.872, mean reward: -0.300 [-100.001, 1.003], mean action: 1.149 [0.000, 3.000], mean observation: 345.829 [-2.307, 4424.000], loss: 16.091768, mae: 10.297096, mean_q: -11.264124\n", - " 33000/300000: episode: 33, duration: 4.907s, episode steps: 1000, steps per second: 204, episode reward: -602.541, mean reward: -0.603 [-100.020, 0.059], mean action: 1.004 [0.000, 3.000], mean observation: 135.564 [-9330.910, 3672.000], loss: 269.286787, mae: 70.511957, mean_q: 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second: 137, episode reward: -299.932, mean reward: -0.300 [-100.000, 0.427], mean action: 2.075 [0.000, 3.000], mean observation: 773.404 [-0.383, 10856.000], loss: 15.441506, mae: 45.079143, mean_q: -32.510752\n", - " 95000/300000: episode: 95, duration: 6.903s, episode steps: 1000, steps per second: 145, episode reward: -399.952, mean reward: -0.400 [-100.000, 1.296], mean action: 2.899 [0.000, 3.000], mean observation: 1361.219 [-1.281, 16248.000], loss: 25.122842, mae: 71.053643, mean_q: -39.663982\n", - " 96000/300000: episode: 96, duration: 6.956s, episode steps: 1000, steps per second: 144, episode reward: -299.950, mean reward: -0.300 [-100.000, 0.885], mean action: 2.859 [0.000, 3.000], mean observation: 1328.931 [0.000, 16024.000], loss: 15.565010, mae: 53.445857, mean_q: -26.092216\n", - " 97000/300000: episode: 97, duration: 6.986s, episode steps: 1000, steps per second: 143, episode reward: -499.951, mean reward: -0.500 [-100.000, 1.300], mean action: 2.877 [0.000, 3.000], mean observation: 1332.502 [0.000, 16056.000], loss: 28.914877, mae: 51.816053, mean_q: -28.914372\n", - " 98000/300000: episode: 98, duration: 6.994s, episode steps: 1000, steps per second: 143, episode reward: -99.908, mean reward: -0.100 [-100.000, 0.908], mean action: 1.478 [0.000, 3.000], mean observation: 807.424 [0.000, 8600.000], loss: 5.235337, mae: 23.836601, mean_q: -12.910621\n", - " 99000/300000: episode: 99, duration: 7.181s, episode steps: 1000, steps per second: 139, episode reward: -400.021, mean reward: -0.400 [-100.002, 1.196], mean action: 1.510 [0.000, 3.000], mean observation: 813.172 [-213.661, 8728.000], loss: 20.540902, mae: 25.824939, mean_q: -14.263638\n", - " 100000/300000: episode: 100, duration: 8.054s, episode steps: 1000, steps per second: 124, episode reward: -99.912, mean reward: -0.100 [-100.001, 1.070], mean action: 1.521 [0.000, 3.000], mean observation: 772.751 [0.000, 8920.000], loss: 5.068557, mae: 24.993509, mean_q: -11.662782\n", - " 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observation: 617.283 [-1.252, 8088.000], loss: 15.225282, mae: 7.383605, mean_q: -3.269414\n", - " 108000/300000: episode: 108, duration: 7.956s, episode steps: 1000, steps per second: 126, episode reward: -799.949, mean reward: -0.800 [-100.002, 0.836], mean action: 2.205 [0.000, 3.000], mean observation: 549.035 [-54.325, 8824.000], loss: 40.158882, mae: 19.307182, mean_q: -17.152348\n", - " 109000/300000: episode: 109, duration: 8.095s, episode steps: 1000, steps per second: 124, episode reward: -799.949, mean reward: -0.800 [-100.000, 1.121], mean action: 2.756 [0.000, 3.000], mean observation: 1104.216 [-0.499, 14008.000], loss: 48.369769, mae: 61.469139, mean_q: -53.388833\n", - " 110000/300000: episode: 110, duration: 7.841s, episode steps: 1000, steps per second: 128, episode reward: -199.951, mean reward: -0.200 [-100.000, 0.058], mean action: 2.939 [0.000, 3.000], mean observation: 1404.716 [-0.127, 16504.000], loss: 11.014499, mae: 47.270065, mean_q: -23.607760\n", - " 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mean action: 2.975 [0.000, 3.000], mean observation: 1452.477 [0.000, 16792.000], loss: 10.258779, mae: 72.336664, mean_q: -16.758820\n", - " 148000/300000: episode: 148, duration: 34.478s, episode steps: 1000, steps per second: 29, episode reward: -99.951, mean reward: -0.100 [-100.000, 1.169], mean action: 2.795 [1.000, 3.000], mean observation: 1061.622 [-1.165, 14008.000], loss: 5.030629, mae: 46.563791, mean_q: -3.944012\n", - " 149000/300000: episode: 149, duration: 35.335s, episode steps: 1000, steps per second: 28, episode reward: -499.952, mean reward: -0.500 [-100.000, 0.061], mean action: 2.929 [1.000, 3.000], mean observation: 1376.459 [-20.937, 15928.000], loss: 26.881345, mae: 75.548828, mean_q: -24.717750\n", - " 150000/300000: episode: 150, duration: 32.563s, episode steps: 1000, steps per second: 31, episode reward: -99.952, mean reward: -0.100 [-100.000, 0.320], mean action: 2.856 [0.000, 3.000], mean observation: 1199.938 [-2.295, 15240.000], loss: 5.435835, mae: 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1000, steps per second: 29, episode reward: -499.942, mean reward: -0.500 [-100.000, 0.541], mean action: 2.347 [0.000, 3.000], mean observation: 953.262 [0.000, 12568.000], loss: 26.690608, mae: 41.461611, mean_q: -12.431314\n", - " 155000/300000: episode: 155, duration: 34.194s, episode steps: 1000, steps per second: 29, episode reward: -599.951, mean reward: -0.600 [-100.003, 0.994], mean action: 2.841 [0.000, 3.000], mean observation: 1237.935 [-1.130, 15480.000], loss: 31.492605, mae: 67.476615, mean_q: -20.671858\n", - " 156000/300000: episode: 156, duration: 35.101s, episode steps: 1000, steps per second: 28, episode reward: -599.951, mean reward: -0.600 [-100.062, 0.217], mean action: 2.882 [0.000, 3.000], mean observation: 1308.105 [0.000, 15912.000], loss: 30.318173, mae: 65.127666, mean_q: -23.850832\n", - " 157000/300000: episode: 157, duration: 33.062s, episode steps: 1000, steps per second: 30, episode reward: 0.049, mean reward: 0.000 [-0.217, 0.480], mean action: 2.893 [0.000, 3.000], mean observation: 1334.231 [-0.163, 16088.000], loss: 0.059196, mae: 56.129236, mean_q: -7.351488\n", - " 158000/300000: episode: 158, duration: 33.405s, episode steps: 1000, steps per second: 30, episode reward: -299.951, mean reward: -0.300 [-100.000, 0.970], mean action: 2.942 [0.000, 3.000], mean observation: 1410.389 [0.000, 16536.000], loss: 15.133209, mae: 59.631863, mean_q: -3.592679\n", - " 159000/300000: episode: 159, duration: 37.485s, episode steps: 1000, steps per second: 27, episode reward: -499.951, mean reward: -0.500 [-100.009, 0.763], mean action: 2.916 [0.000, 3.000], mean observation: 1375.672 [-0.085, 16328.000], loss: 25.385776, mae: 60.521563, mean_q: -11.731461\n", - " 160000/300000: episode: 160, duration: 34.281s, episode steps: 1000, steps per second: 29, episode reward: -99.952, mean reward: -0.100 [-100.000, 0.493], mean action: 2.865 [0.000, 3.000], mean observation: 1292.332 [-0.235, 15832.000], loss: 5.156283, mae: 46.209875, mean_q: -11.346612\n", - " 161000/300000: episode: 161, duration: 33.937s, episode steps: 1000, steps per second: 29, episode reward: -299.952, mean reward: -0.300 [-100.000, 0.595], mean action: 2.765 [0.000, 3.000], mean observation: 1071.554 [-1.130, 14136.000], loss: 15.681298, mae: 32.493035, mean_q: -8.013821\n", - " 162000/300000: episode: 162, duration: 35.492s, episode steps: 1000, steps per second: 28, episode reward: -699.950, mean reward: -0.700 [-100.001, 1.015], mean action: 2.698 [0.000, 3.000], mean observation: 991.497 [-2.551, 13464.000], loss: 36.463393, mae: 67.575190, mean_q: -25.665859\n", - " 163000/300000: episode: 163, duration: 39.860s, episode steps: 1000, steps per second: 25, episode reward: -399.952, mean reward: -0.400 [-100.001, 0.745], mean action: 2.880 [0.000, 3.000], mean observation: 1248.016 [-0.732, 15544.000], loss: 20.352300, mae: 64.874588, mean_q: -17.817515\n", - " 164000/300000: episode: 164, duration: 36.108s, episode steps: 1000, steps per second: 28, episode reward: -99.951, mean reward: -0.100 [-100.000, 0.682], mean action: 2.903 [0.000, 3.000], mean observation: 1334.424 [-0.198, 16072.000], loss: 5.089421, mae: 51.636912, mean_q: -8.745759\n", - " 165000/300000: episode: 165, duration: 37.942s, episode steps: 1000, steps per second: 26, episode reward: 0.049, mean reward: 0.000 [-0.695, 0.762], mean action: 2.924 [0.000, 3.000], mean observation: 1377.308 [0.000, 16328.000], loss: 0.045247, mae: 44.343774, mean_q: -3.082575\n", - " 166000/300000: episode: 166, duration: 35.837s, episode steps: 1000, steps per second: 28, episode reward: -199.952, mean reward: -0.200 [-100.000, 1.154], mean action: 2.889 [0.000, 3.000], mean observation: 1282.299 [-1.040, 15752.000], loss: 10.072433, mae: 32.085363, mean_q: -5.988246\n", - " 167000/300000: episode: 167, duration: 36.156s, episode steps: 1000, steps per second: 28, episode reward: -799.942, mean reward: -0.800 [-100.000, 0.693], mean action: 2.008 [0.000, 3.000], mean observation: 574.769 [-28.479, 8472.000], loss: 45.416784, mae: 24.906917, mean_q: -10.480202\n", - " 168000/300000: episode: 168, duration: 36.687s, episode steps: 1000, steps per second: 27, episode reward: -300.408, mean reward: -0.300 [-100.004, 0.760], mean action: 1.328 [0.000, 3.000], mean observation: 554.196 [-3050.148, 7240.000], loss: 695.388557, mae: 70.947152, mean_q: 84.976124\n", - " 169000/300000: episode: 169, duration: 37.899s, episode steps: 1000, steps per second: 26, episode reward: -299.942, mean reward: -0.300 [-100.000, 0.844], mean action: 2.471 [0.000, 3.000], mean observation: 928.003 [-0.390, 12824.000], loss: 15.180142, mae: 34.978701, mean_q: -6.590568\n", - " 170000/300000: episode: 170, duration: 36.099s, episode steps: 1000, steps per second: 28, episode reward: -299.950, mean reward: -0.300 [-100.044, 0.373], mean action: 2.903 [0.000, 3.000], mean observation: 1361.213 [0.000, 16232.000], loss: 15.400989, mae: 36.773562, mean_q: -21.990490\n", - " 171000/300000: episode: 171, duration: 35.335s, episode steps: 1000, steps per second: 28, episode reward: -99.949, mean reward: -0.100 [-100.142, 0.693], mean action: 2.463 [0.000, 3.000], mean observation: 813.956 [-1.513, 9000.000], loss: 5.164307, mae: 11.567531, mean_q: -6.541154\n", - " 172000/300000: episode: 172, duration: 37.441s, episode steps: 1000, steps per second: 27, episode reward: -999.951, mean reward: -1.000 [-100.001, 0.915], mean action: 2.629 [0.000, 3.000], mean observation: 861.481 [-4.049, 12664.000], loss: 50.348098, mae: 25.815251, mean_q: -15.098986\n", - " 173000/300000: episode: 173, duration: 39.137s, episode steps: 1000, steps per second: 26, episode reward: -800.110, mean reward: -0.800 [-100.000, 0.598], mean action: 2.086 [0.000, 3.000], mean observation: 1104.171 [-1295.994, 11736.000], loss: 294.802835, mae: 56.716744, mean_q: 37.472875\n", - " 174000/300000: episode: 174, duration: 36.092s, episode steps: 1000, steps per second: 28, episode reward: -202.846, mean reward: -0.203 [-100.000, 0.948], mean action: 0.285 [0.000, 3.000], mean observation: 110.364 [-4532.318, 1592.000], loss: 272.131723, mae: 14.983996, mean_q: 11.980448\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 175000/300000: episode: 175, duration: 36.211s, episode steps: 1000, steps per second: 28, episode reward: -903.225, mean reward: -0.903 [-100.006, 1.261], mean action: 0.393 [0.000, 3.000], mean observation: 28.667 [-4978.799, 1544.000], loss: 144.601849, mae: 28.849512, mean_q: 33.173958\n", - " 176000/300000: episode: 176, duration: 36.169s, episode steps: 1000, steps per second: 28, episode reward: -142.777, mean reward: -0.143 [-99.998, 0.191], mean action: 0.102 [0.000, 3.000], mean observation: -1274.154 [-53043.712, 1240.000], loss: 8.591403, mae: 298.336760, mean_q: 38.480374\n", - " 177000/300000: episode: 177, duration: 36.630s, episode steps: 1000, steps per second: 27, episode reward: -2615.562, mean reward: -2.616 [-100.407, 5.550], mean action: 0.964 [0.000, 3.000], mean observation: -5786.839 [-48730.710, 3112.000], loss: 8806.855101, mae: 491.279720, mean_q: -235.609955\n", - " 178000/300000: episode: 178, duration: 38.256s, episode steps: 1000, steps per second: 26, episode reward: -10399.933, mean reward: -10.400 [-100.038, 1.385], mean action: 1.721 [0.000, 3.000], mean observation: 136.600 [-245.909, 2152.000], loss: 1037.716523, mae: 234.158571, mean_q: -284.611396\n", - " 179000/300000: episode: 179, duration: 37.112s, episode steps: 1000, steps per second: 27, episode reward: -3000.015, mean reward: -3.000 [-100.140, 0.940], mean action: 2.411 [0.000, 3.000], mean observation: 827.086 [-793.357, 12248.000], loss: 7399.526518, mae: 726.240112, mean_q: -379.082259\n", - " 180000/300000: episode: 180, duration: 37.042s, episode steps: 1000, steps per second: 27, episode reward: -699.930, mean reward: -0.700 [-100.002, 0.598], mean action: 2.032 [0.000, 3.000], mean observation: 919.365 [-1.862, 8808.000], loss: 321.714240, mae: 365.899726, mean_q: -450.468013\n", - " 181000/300000: episode: 181, duration: 37.652s, episode steps: 1000, steps per second: 27, episode reward: -1299.950, mean reward: -1.300 [-100.051, 0.569], mean action: 2.773 [1.000, 3.000], mean observation: 1164.788 [0.000, 15000.000], loss: 67.445742, mae: 186.165460, mean_q: -41.264923\n", - " 182000/300000: episode: 182, duration: 37.334s, episode steps: 1000, steps per second: 27, episode reward: -199.952, mean reward: -0.200 [-100.000, 1.092], mean action: 2.972 [0.000, 3.000], mean observation: 1446.473 [0.000, 16760.000], loss: 10.192683, mae: 210.538738, mean_q: -6.091104\n", - " 183000/300000: episode: 183, duration: 37.884s, episode steps: 1000, steps per second: 26, episode reward: -499.952, mean reward: -0.500 [-100.000, 0.694], mean action: 2.948 [0.000, 3.000], mean observation: 1402.002 [0.000, 16504.000], loss: 25.245594, mae: 214.898586, mean_q: -46.816824\n", - " 184000/300000: episode: 184, duration: 37.379s, episode steps: 1000, steps per second: 27, episode reward: -599.952, mean reward: -0.600 [-100.026, 1.197], mean action: 2.950 [0.000, 3.000], mean observation: 1413.894 [0.000, 16568.000], loss: 30.502016, mae: 225.653906, mean_q: -47.143495\n", - " 185000/300000: episode: 185, duration: 37.540s, episode steps: 1000, steps per second: 27, episode reward: -399.951, mean reward: -0.400 [-100.001, 0.578], mean action: 2.945 [0.000, 3.000], mean observation: 1408.784 [-0.341, 16536.000], loss: 20.261917, mae: 210.871063, mean_q: -36.878799\n", - " 186000/300000: episode: 186, duration: 37.690s, episode steps: 1000, steps per second: 27, episode reward: -199.952, mean reward: -0.200 [-100.000, 1.340], mean action: 2.962 [0.000, 3.000], mean observation: 1432.474 [0.000, 16680.000], loss: 10.257789, mae: 203.034381, mean_q: -24.046622\n", - " 187000/300000: episode: 187, duration: 37.841s, episode steps: 1000, steps per second: 26, episode reward: -299.988, mean reward: -0.300 [-100.000, 0.925], mean action: 2.680 [0.000, 3.000], mean observation: 1370.534 [-32.616, 15128.000], loss: 110.500405, mae: 180.548190, mean_q: 16.528508\n", - " 188000/300000: episode: 188, duration: 38.097s, episode steps: 1000, steps per second: 26, episode reward: -500.088, mean reward: -0.500 [-100.001, 0.625], mean action: 2.237 [0.000, 3.000], mean observation: 1234.507 [-1119.624, 12664.000], loss: 41.700141, mae: 154.180999, mean_q: -5.068060\n", - " 189000/300000: episode: 189, duration: 38.125s, episode steps: 1000, steps per second: 26, episode reward: -100.132, mean reward: -0.100 [-100.000, 0.797], mean action: 0.205 [0.000, 3.000], mean observation: 154.144 [-288.502, 1976.000], loss: 6.948448, mae: 12.831060, mean_q: 5.854544\n", - " 190000/300000: episode: 190, duration: 38.403s, episode steps: 1000, steps per second: 26, episode reward: -100.167, mean reward: -0.100 [-100.001, 0.712], mean action: 0.175 [0.000, 3.000], mean observation: 132.814 [-316.440, 1832.000], loss: 6.755515, mae: 12.076781, mean_q: 0.620099\n", - " 191000/300000: episode: 191, duration: 38.556s, episode steps: 1000, steps per second: 26, episode reward: -200.873, mean reward: -0.201 [-99.999, 1.086], mean action: 0.311 [0.000, 3.000], mean observation: 113.026 [-1911.501, 2168.000], loss: 35.253820, mae: 29.624957, mean_q: -12.283360\n", - " 192000/300000: episode: 192, duration: 38.770s, episode steps: 1000, steps per second: 26, episode reward: -399.950, mean reward: -0.400 [-100.000, 1.138], mean action: 2.782 [0.000, 3.000], mean observation: 1457.311 [-0.656, 15320.000], loss: 2226.080584, mae: 305.770338, mean_q: -117.301448\n", - " 193000/300000: episode: 193, duration: 43.180s, episode steps: 1000, steps per second: 23, episode reward: -199.949, mean reward: -0.200 [-100.000, 0.935], mean action: 2.872 [0.000, 3.000], mean observation: 1330.052 [0.000, 16024.000], loss: 11.604237, mae: 114.410483, mean_q: -88.717632\n", - " 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-199.952, mean reward: -0.200 [-100.000, 0.436], mean action: 2.951 [0.000, 3.000], mean observation: 1419.315 [0.000, 16600.000], loss: 10.056069, mae: 76.430242, mean_q: -14.679876\n", - " 198000/300000: episode: 198, duration: 39.252s, episode steps: 1000, steps per second: 25, episode reward: -199.952, mean reward: -0.200 [-100.000, 0.793], mean action: 2.941 [0.000, 3.000], mean observation: 1414.450 [0.000, 16568.000], loss: 10.146735, mae: 76.859481, mean_q: -19.782752\n", - " 199000/300000: episode: 199, duration: 39.201s, episode steps: 1000, steps per second: 26, episode reward: -400.305, mean reward: -0.400 [-100.000, 1.248], mean action: 2.017 [0.000, 3.000], mean observation: 913.850 [-3697.475, 11272.000], loss: 473.632115, mae: 62.175131, mean_q: 20.866804\n", - " 200000/300000: episode: 200, duration: 39.691s, episode steps: 1000, steps per second: 25, episode reward: -99.952, mean reward: -0.100 [-100.000, 1.299], mean action: 2.938 [0.000, 3.000], mean observation: 1406.420 [0.000, 16520.000], loss: 10.284025, mae: 70.304757, mean_q: -4.784017\n", - " 201000/300000: episode: 201, duration: 39.837s, episode steps: 1000, steps per second: 25, episode reward: -300.251, mean reward: -0.300 [-100.000, 1.279], mean action: 2.234 [0.000, 3.000], mean observation: 1154.774 [-3318.627, 12600.000], loss: 17.195983, mae: 34.694090, mean_q: 30.624481\n", - " 202000/300000: episode: 202, duration: 39.974s, episode steps: 1000, steps per second: 25, episode reward: -499.943, mean reward: -0.500 [-100.000, 0.651], mean action: 2.038 [0.000, 3.000], mean observation: 648.795 [-3.695, 9176.000], loss: 27.790428, mae: 42.784864, mean_q: -39.955782\n" + "Training for 80000 steps ...\n", + " 1000/80000: episode: 1, duration: 3.096s, episode steps: 1000, steps per second: 323, episode reward: -399.952, mean reward: -0.400 [-100.000, 0.063], mean action: 2.911 [0.000, 3.000], mean observation: 1327.211 [-52.797, 15704.000], loss: 20.226103, mae: 143.311134, mean_q: -21.029920\n", + " 2000/80000: episode: 2, duration: 3.606s, episode steps: 1000, steps per second: 277, episode reward: -99.952, mean reward: -0.100 [-99.993, 0.059], mean action: 2.980 [0.000, 3.000], mean observation: 1459.644 [0.000, 16840.000], loss: 5.012272, mae: 156.032003, mean_q: -0.189455\n", + " 3000/80000: episode: 3, duration: 4.046s, episode steps: 1000, steps per second: 247, episode reward: -1000.176, mean reward: -1.000 [-100.008, 1.390], mean action: 2.251 [0.000, 3.000], mean observation: 680.572 [-2128.402, 10488.000], loss: 52.136068, mae: 270.010603, mean_q: -68.822053\n", + " 4000/80000: episode: 4, duration: 4.089s, episode steps: 1000, steps per second: 245, episode reward: -199.952, mean reward: -0.200 [-100.000, 0.053], mean action: 3.000 [3.000, 3.000], mean observation: 1486.397 [0.000, 17000.000], loss: 10.069900, mae: 364.138416, mean_q: -8.081340\n", + " 5000/80000: episode: 5, duration: 3.937s, episode steps: 1000, steps per second: 254, episode reward: -599.953, mean reward: -0.600 [-100.000, 0.847], mean action: 2.728 [0.000, 3.000], mean observation: 1377.987 [-293.150, 12728.000], loss: 43.396606, mae: 233.629282, mean_q: -38.202635\n", + " 6000/80000: episode: 6, duration: 3.086s, episode steps: 1000, steps per second: 324, episode reward: -799.963, mean reward: -0.800 [-100.000, 0.939], mean action: 1.866 [0.000, 3.000], mean observation: 213.170 [-20.057, 3592.000], loss: 40.802704, mae: 18.055665, mean_q: -13.796689\n", + " 7000/80000: episode: 7, duration: 3.086s, episode steps: 1000, steps per second: 324, episode reward: -299.954, mean reward: -0.300 [-100.000, 0.049], mean action: 2.410 [1.000, 3.000], mean observation: 592.105 [-8.905, 7576.000], loss: 15.198839, mae: 48.314196, mean_q: -11.497877\n", + " 8000/80000: episode: 8, duration: 3.154s, episode steps: 1000, steps per second: 317, episode reward: -99.953, mean reward: -0.100 [-100.000, 0.044], mean action: 2.743 [1.000, 3.000], mean observation: 958.983 [-2.117, 12920.000], loss: 5.086159, mae: 100.722020, mean_q: 0.319205\n", + " 9000/80000: episode: 9, duration: 3.237s, episode steps: 1000, steps per second: 309, episode reward: 0.048, mean reward: 0.000 [-0.616, 0.855], mean action: 2.990 [0.000, 3.000], mean observation: 1472.483 [0.000, 16920.000], loss: 0.003635, mae: 166.539033, mean_q: 1.378480\n", + " 10000/80000: episode: 10, duration: 3.316s, episode steps: 1000, steps per second: 302, episode reward: -1000.159, mean reward: -1.000 [-100.000, 0.665], mean action: 2.472 [0.000, 3.000], mean observation: 1175.988 [-1684.488, 10520.000], loss: 78.186675, mae: 136.626915, mean_q: -45.971638\n", + " 11000/80000: episode: 11, duration: 3.729s, episode steps: 1000, steps per second: 268, episode reward: -399.916, mean reward: -0.400 [-100.000, 0.687], mean action: 1.972 [0.000, 3.000], mean observation: 577.913 [-7.725, 7208.000], loss: 24.609802, mae: 48.075405, mean_q: -22.993989\n", + " 12000/80000: episode: 12, duration: 3.855s, episode steps: 1000, steps per second: 259, episode reward: -99.875, mean reward: -0.100 [-100.000, 1.328], mean action: 1.836 [0.000, 3.000], mean observation: 675.090 [-0.271, 7544.000], loss: 5.332828, mae: 24.347830, mean_q: -4.479849\n", + " 13000/80000: episode: 13, duration: 3.755s, episode steps: 1000, steps per second: 266, episode reward: -399.907, mean reward: -0.400 [-100.007, 0.071], mean action: 1.847 [0.000, 3.000], mean observation: 655.303 [-9.335, 8760.000], loss: 20.533913, mae: 38.554619, mean_q: -22.892896\n", + " 14000/80000: episode: 14, duration: 3.802s, episode steps: 1000, steps per second: 263, episode reward: -99.968, mean reward: -0.100 [-100.000, 0.913], mean action: 2.738 [0.000, 3.000], mean observation: 1353.795 [-21.201, 15528.000], loss: 5.081051, mae: 139.492669, mean_q: -4.424322\n", + " 15000/80000: episode: 15, duration: 3.863s, episode steps: 1000, steps per second: 259, episode reward: -199.955, mean reward: -0.200 [-100.001, 1.325], 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0.425], mean action: 2.991 [1.000, 3.000], mean observation: 1472.562 [0.000, 16920.000], loss: 10.044838, mae: 166.656946, mean_q: -19.576728\n", - " 274000/300000: episode: 274, duration: 74.922s, episode steps: 1000, steps per second: 13, episode reward: -299.952, mean reward: -0.300 [-100.000, 1.106], mean action: 2.986 [1.000, 3.000], mean observation: 1468.136 [0.000, 16888.000], loss: 15.184280, mae: 132.141981, mean_q: -20.587044\n", - " 275000/300000: episode: 275, duration: 75.055s, episode steps: 1000, steps per second: 13, episode reward: -199.952, mean reward: -0.200 [-100.000, 1.134], mean action: 2.977 [0.000, 3.000], mean observation: 1457.273 [0.000, 16824.000], loss: 10.125612, mae: 69.025922, mean_q: -12.257396\n", - " 276000/300000: episode: 276, duration: 79.066s, episode steps: 1000, steps per second: 13, episode reward: -99.943, mean reward: -0.100 [-100.000, 0.487], mean action: 2.762 [0.000, 3.000], mean observation: 1239.722 [0.000, 15096.000], loss: 5.119245, mae: 136.342977, mean_q: -8.005171\n", - " 277000/300000: episode: 277, duration: 73.992s, episode steps: 1000, steps per second: 14, episode reward: -499.945, mean reward: -0.500 [-100.000, 0.846], mean action: 2.575 [0.000, 3.000], mean observation: 1410.061 [0.000, 13672.000], loss: 25.191812, mae: 46.295891, mean_q: -6.435528\n", - " 278000/300000: episode: 278, duration: 74.439s, episode steps: 1000, steps per second: 13, episode reward: -199.929, mean reward: -0.200 [-100.000, 0.743], mean action: 2.458 [0.000, 3.000], mean observation: 1048.234 [0.000, 12664.000], loss: 10.121629, mae: 46.382471, mean_q: -8.912417\n", - " 279000/300000: episode: 279, duration: 74.855s, episode steps: 1000, steps per second: 13, episode reward: -199.944, mean reward: -0.200 [-100.000, 0.944], mean action: 2.715 [0.000, 3.000], mean observation: 1253.496 [0.000, 14728.000], loss: 10.428594, mae: 74.528671, mean_q: -11.752321\n", - " 280000/300000: episode: 280, duration: 75.268s, episode steps: 1000, steps per second: 13, episode reward: -399.922, mean reward: -0.400 [-100.000, 0.610], mean action: 2.252 [0.000, 3.000], mean observation: 783.849 [-0.057, 10888.000], loss: 20.847108, mae: 34.755565, mean_q: -10.050628\n", - " 281000/300000: episode: 281, duration: 63.307s, episode steps: 1000, steps per second: 16, episode reward: -499.949, mean reward: -0.500 [-100.001, 0.524], mean action: 2.640 [0.000, 3.000], mean observation: 1012.142 [-36.381, 13368.000], loss: 25.267009, mae: 44.540550, mean_q: -13.234275\n", - " 282000/300000: episode: 282, duration: 53.766s, episode steps: 1000, steps per second: 19, episode reward: 0.088, mean reward: 0.000 [-0.091, 0.223], mean action: 1.819 [0.000, 3.000], mean observation: 897.238 [-1.008, 9528.000], loss: 0.511632, mae: 5.868553, mean_q: -2.361519\n", - " 283000/300000: episode: 283, duration: 54.044s, episode steps: 1000, steps per second: 19, episode reward: -299.942, mean reward: -0.300 [-100.000, 0.264], mean action: 2.575 [0.000, 3.000], mean observation: 1086.139 [-0.192, 13368.000], loss: 15.270299, mae: 38.058914, mean_q: -9.664418\n", - " 284000/300000: episode: 284, duration: 54.863s, episode steps: 1000, steps per second: 18, episode reward: -999.947, mean reward: -1.000 [-100.000, 0.025], mean action: 2.773 [0.000, 3.000], mean observation: 1142.240 [-0.769, 14664.000], loss: 63.023101, mae: 100.135497, mean_q: -39.948599\n", - " 285000/300000: episode: 285, duration: 61.162s, episode steps: 1000, steps per second: 16, episode reward: -99.951, mean reward: -0.100 [-100.000, 0.062], mean action: 2.964 [1.000, 3.000], mean observation: 1417.786 [0.000, 16584.000], loss: 5.114595, mae: 49.403872, mean_q: -11.626691\n", - " 286000/300000: episode: 286, duration: 56.269s, episode steps: 1000, steps per second: 18, episode reward: -199.944, mean reward: -0.200 [-100.000, 0.068], mean action: 2.585 [1.000, 3.000], mean observation: 1055.394 [-2.203, 11560.000], loss: 10.494128, mae: 18.790347, mean_q: -6.392388\n", - " 287000/300000: episode: 287, duration: 57.738s, episode steps: 1000, steps per second: 17, episode reward: -699.951, mean reward: -0.700 [-100.000, 0.370], mean action: 2.586 [1.000, 3.000], mean observation: 869.694 [-25.401, 10776.000], loss: 39.116726, mae: 59.087836, mean_q: -20.852934\n", - " 288000/300000: episode: 288, duration: 58.320s, episode steps: 1000, steps per second: 17, episode reward: -399.946, mean reward: -0.400 [-100.000, 0.879], mean action: 2.807 [0.000, 3.000], mean observation: 1274.478 [0.000, 15416.000], loss: 35.394128, mae: 101.409558, mean_q: -18.858209\n", - " 289000/300000: episode: 289, duration: 56.843s, episode steps: 1000, steps per second: 18, episode reward: -299.951, mean reward: -0.300 [-100.000, 0.907], mean action: 2.944 [1.000, 3.000], mean observation: 1401.543 [0.000, 16472.000], loss: 15.621556, mae: 55.768937, mean_q: -11.684485\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 290000/300000: episode: 290, duration: 70.358s, episode steps: 1000, steps per second: 14, episode reward: -99.951, mean reward: -0.100 [-100.000, 0.735], mean action: 2.945 [1.000, 3.000], mean observation: 1403.278 [0.000, 16488.000], loss: 5.368900, mae: 63.456699, mean_q: -10.548355\n", - " 291000/300000: episode: 291, duration: 104.075s, episode steps: 1000, steps per second: 10, episode reward: -99.951, mean reward: -0.100 [-100.000, 0.609], mean action: 2.955 [1.000, 3.000], mean observation: 1412.729 [0.000, 16552.000], loss: 5.086025, mae: 53.910769, mean_q: -9.786926\n", - " 292000/300000: episode: 292, duration: 63.175s, episode steps: 1000, steps per second: 16, episode reward: -299.937, mean reward: -0.300 [-100.000, 0.717], mean action: 2.611 [0.000, 3.000], mean observation: 1133.016 [0.000, 13720.000], loss: 15.171372, mae: 69.823818, mean_q: -8.078426\n", - " 293000/300000: episode: 293, duration: 68.573s, episode steps: 1000, steps per second: 15, episode reward: -99.951, mean reward: -0.100 [-100.000, 1.148], mean action: 2.910 [0.000, 3.000], mean observation: 1451.795 [-1.305, 16088.000], loss: 5.056700, mae: 67.911235, mean_q: -1.668463\n", - " 294000/300000: episode: 294, duration: 61.351s, episode steps: 1000, steps per second: 16, episode reward: -199.924, mean reward: -0.200 [-100.000, 0.070], mean action: 2.349 [0.000, 3.000], mean observation: 991.890 [-0.007, 11544.000], loss: 10.457494, mae: 29.119197, mean_q: -11.607627\n", - " 295000/300000: episode: 295, duration: 60.886s, episode steps: 1000, steps per second: 16, episode reward: -399.951, mean reward: -0.400 [-100.000, 0.825], mean action: 2.941 [0.000, 3.000], mean observation: 1421.313 [0.000, 16600.000], loss: 20.296090, mae: 50.228352, mean_q: -18.075306\n", - " 296000/300000: episode: 296, duration: 65.421s, episode steps: 1000, steps per second: 15, episode reward: -599.949, mean reward: -0.600 [-100.000, 0.060], mean action: 2.786 [0.000, 3.000], mean observation: 1272.847 [-3.015, 15560.000], loss: 30.770641, mae: 70.904393, mean_q: -18.158817\n", - " 297000/300000: episode: 297, duration: 70.525s, episode steps: 1000, steps per second: 14, episode reward: -99.951, mean reward: -0.100 [-100.000, 0.329], mean action: 2.953 [0.000, 3.000], mean observation: 1407.131 [0.000, 16520.000], loss: 5.085747, mae: 55.199123, mean_q: -14.898496\n", - " 298000/300000: episode: 298, duration: 70.614s, episode steps: 1000, steps per second: 14, episode reward: -299.940, mean reward: -0.300 [-100.000, 0.793], mean action: 1.981 [0.000, 3.000], mean observation: 725.951 [-58.506, 6520.000], loss: 15.278693, mae: 5.208366, mean_q: -2.942959\n", - " 299000/300000: episode: 299, duration: 69.038s, episode steps: 1000, steps per second: 14, episode reward: -299.946, mean reward: -0.300 [-100.000, 0.973], mean action: 2.699 [0.000, 3.000], mean observation: 1013.976 [-1.351, 13528.000], loss: 15.137119, mae: 35.640168, mean_q: -4.986507\n", - " 300000/300000: episode: 300, duration: 68.989s, episode steps: 1000, steps per second: 14, episode reward: -299.951, mean reward: -0.300 [-100.000, 0.993], mean action: 2.912 [0.000, 3.000], mean observation: 1450.204 [0.000, 16312.000], loss: 15.057948, mae: 47.544842, mean_q: -11.517377\n", - "done, took 8690.177 seconds\n" + " 59000/80000: episode: 59, duration: 10.329s, episode steps: 1000, steps per second: 97, episode reward: 0.047, mean reward: 0.000 [-0.460, 0.543], mean action: 2.988 [0.000, 3.000], mean observation: 1457.854 [-0.159, 16840.000], loss: 0.024949, mae: 199.554831, mean_q: 2.563879\n", + " 60000/80000: episode: 60, duration: 10.450s, episode steps: 1000, steps per second: 96, episode reward: -99.952, mean reward: -0.100 [-100.000, 0.714], mean action: 2.652 [0.000, 3.000], mean observation: 829.917 [-13.258, 11576.000], loss: 5.165361, mae: 111.167975, mean_q: -17.184062\n", + " 61000/80000: episode: 61, duration: 10.621s, episode steps: 1000, steps per second: 94, episode reward: -99.952, mean reward: -0.100 [-100.000, 0.068], mean action: 2.993 [0.000, 3.000], mean observation: 1478.268 [0.000, 16952.000], loss: 5.056249, mae: 201.940718, mean_q: -6.883070\n", + " 62000/80000: episode: 62, duration: 10.640s, episode steps: 1000, steps per second: 94, episode reward: -99.952, mean reward: -0.100 [-100.000, 0.916], mean action: 2.977 [0.000, 3.000], mean observation: 1459.622 [0.000, 16840.000], loss: 5.031829, mae: 59.007145, mean_q: -4.204816\n", + " 63000/80000: episode: 63, duration: 10.771s, episode steps: 1000, steps per second: 93, episode reward: 0.048, mean reward: 0.000 [-0.027, 0.058], mean action: 2.985 [1.000, 3.000], mean observation: 1462.945 [0.000, 16856.000], loss: 0.074707, mae: 56.055127, mean_q: -2.710857\n", + " 64000/80000: episode: 64, duration: 10.954s, episode steps: 1000, steps per second: 91, episode reward: -99.952, mean reward: -0.100 [-100.000, 0.954], mean action: 2.973 [0.000, 3.000], mean observation: 1448.693 [0.000, 16776.000], loss: 5.038747, mae: 35.191689, mean_q: -2.590885\n", + " 65000/80000: episode: 65, duration: 11.218s, episode steps: 1000, steps per second: 89, episode reward: 0.057, mean reward: 0.000 [-0.564, 0.651], mean action: 2.243 [0.000, 3.000], mean observation: 748.477 [-1.271, 8792.000], loss: 0.059323, mae: 11.201503, mean_q: 0.197449\n", + " 66000/80000: episode: 66, duration: 11.273s, episode steps: 1000, steps per second: 89, episode reward: -99.950, mean reward: -0.100 [-100.000, 1.271], mean action: 2.744 [0.000, 3.000], mean observation: 1160.458 [-0.729, 14856.000], loss: 5.044860, mae: 47.286041, mean_q: -3.992982\n", + " 67000/80000: episode: 67, duration: 11.325s, episode steps: 1000, steps per second: 88, episode reward: -99.951, mean reward: -0.100 [-99.999, 0.639], mean action: 2.918 [0.000, 3.000], mean observation: 1407.344 [0.000, 16504.000], loss: 5.062954, mae: 55.352825, mean_q: -0.102303\n", + " 68000/80000: episode: 68, duration: 11.356s, episode steps: 1000, steps per second: 88, episode reward: 0.048, mean reward: 0.000 [-0.028, 0.044], mean action: 2.974 [0.000, 3.000], mean observation: 1451.735 [0.000, 16792.000], loss: 0.022526, mae: 53.808183, mean_q: -0.170187\n", + " 69000/80000: episode: 69, duration: 11.520s, episode steps: 1000, steps per second: 87, episode reward: -299.992, mean reward: -0.300 [-100.000, 0.389], mean action: 2.584 [0.000, 3.000], mean observation: 1197.054 [-194.336, 14696.000], loss: 15.253619, mae: 68.669184, mean_q: -4.175360\n", + " 70000/80000: episode: 70, duration: 11.761s, episode steps: 1000, steps per second: 85, episode reward: -499.994, mean reward: -0.500 [-100.000, 0.487], mean action: 2.537 [0.000, 3.000], mean observation: 1210.022 [-227.323, 12440.000], loss: 26.999148, mae: 83.379527, mean_q: -13.954548\n", + " 71000/80000: episode: 71, duration: 11.768s, episode steps: 1000, steps per second: 85, episode reward: -99.889, mean reward: -0.100 [-100.000, 0.248], mean action: 1.594 [0.000, 3.000], mean observation: 474.756 [-0.801, 4920.000], loss: 5.083488, mae: 3.112450, mean_q: -3.061077\n", + " 72000/80000: episode: 72, duration: 12.001s, episode steps: 1000, steps per second: 83, episode reward: -99.898, mean reward: -0.100 [-100.000, 0.040], mean action: 1.569 [0.000, 3.000], mean observation: 476.820 [-1.352, 5208.000], loss: 5.016193, mae: 1.076286, mean_q: -1.201834\n", + " 73000/80000: episode: 73, duration: 12.224s, episode steps: 1000, steps per second: 82, episode reward: -299.896, mean reward: -0.300 [-100.000, 1.161], mean action: 1.553 [0.000, 3.000], mean observation: 431.065 [-0.641, 4728.000], loss: 15.059831, mae: 1.179646, mean_q: -1.306725\n", + " 74000/80000: episode: 74, duration: 12.159s, episode steps: 1000, steps per second: 82, episode reward: -199.894, mean reward: -0.200 [-100.001, 0.651], mean action: 1.612 [0.000, 3.000], mean observation: 513.656 [-1.180, 5496.000], loss: 10.012646, mae: 1.193858, mean_q: -1.339436\n", + " 75000/80000: episode: 75, duration: 12.332s, episode steps: 1000, steps per second: 81, episode reward: -499.903, mean reward: -0.500 [-100.001, 0.044], mean action: 1.572 [0.000, 3.000], mean observation: 459.918 [-0.962, 5064.000], loss: 25.016136, mae: 1.339443, mean_q: -1.373723\n", + " 76000/80000: episode: 76, duration: 12.452s, episode steps: 1000, steps per second: 80, episode reward: -99.904, mean reward: -0.100 [-100.000, 0.057], mean action: 1.587 [0.000, 3.000], mean observation: 479.436 [-0.618, 5176.000], loss: 5.030677, mae: 1.328326, mean_q: -1.520614\n", + " 77000/80000: episode: 77, duration: 12.608s, episode steps: 1000, steps per second: 79, episode reward: 0.110, mean reward: 0.000 [-0.205, 0.291], mean action: 1.606 [0.000, 3.000], mean observation: 521.235 [-1.067, 5592.000], loss: 0.004904, mae: 1.257675, mean_q: -1.598356\n", + " 78000/80000: episode: 78, duration: 12.678s, episode steps: 1000, steps per second: 79, episode reward: -99.890, mean reward: -0.100 [-99.989, 0.055], mean action: 1.612 [0.000, 3.000], mean observation: 522.019 [-0.797, 5544.000], loss: 5.027337, mae: 1.340443, mean_q: -1.603227\n", + " 79000/80000: episode: 79, duration: 12.858s, episode steps: 1000, steps per second: 78, episode reward: -199.881, mean reward: -0.200 [-100.000, 0.848], mean action: 1.510 [0.000, 3.000], mean observation: 472.823 [-2.077, 4872.000], loss: 10.015758, mae: 1.350353, mean_q: -1.646644\n", + " 80000/80000: episode: 80, duration: 12.903s, episode steps: 1000, steps per second: 78, episode reward: -299.880, mean reward: -0.300 [-100.000, 0.895], mean action: 1.520 [0.000, 3.000], mean observation: 536.794 [-0.713, 5704.000], loss: 15.007710, mae: 1.456829, mean_q: -1.738174\n", + "done, took 599.130 seconds\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 58, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1794,7 +1534,7 @@ "# Okay, now it's time to learn something! We visualize the training here for show, but this\n", "# slows down training quite a lot. You can always safely abort the training prematurely using\n", "# Ctrl + C.\n", - "sarsa.fit(heartpole, nb_steps=300000,\n", + "sarsa.fit(heartpole, nb_steps=80000,\n", " nb_max_episode_steps=1000, visualize=False, verbose=2)" ] }, @@ -1807,7 +1547,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -1815,20 +1555,20 @@ "output_type": "stream", "text": [ "Testing for 5 episodes ...\n", - "Episode 1: reward: -199.775, steps: 1000\n", - "Episode 2: reward: -199.776, steps: 1000\n", - "Episode 3: reward: 0.226, steps: 1000\n", - "Episode 4: reward: -199.774, steps: 1000\n", - "Episode 5: reward: -99.773, steps: 1000\n" + "Episode 1: reward: -299.951, steps: 1000\n", + "Episode 2: reward: -199.951, steps: 1000\n", + "Episode 3: reward: -199.950, steps: 1000\n", + "Episode 4: reward: -99.950, steps: 1000\n", + "Episode 5: reward: -99.950, steps: 1000\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 61, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1848,13043 +1588,1803 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 53, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "IOPub data rate exceeded.\n", + "The notebook server will temporarily stop sending output\n", + "to the client in order to avoid crashing it.\n", + "To change this limit, set the config variable\n", + "`--NotebookApp.iopub_data_rate_limit`.\n", + "\n", + "Current values:\n", + "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", + "NotebookApp.rate_limit_window=3.0 (secs)\n", + "\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Testing for 1 episodes ...\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9502855417384619, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1, 'work_done': 0.7911002627342265}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9304452360043844, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 2, 'work_done': 1.5691128891306299}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.908563965068254, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 3, 'work_done': 2.3325930040665397}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8844369436505848, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 4, 'work_done': 3.079931454206414}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8578399500737189, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 5, 'work_done': 3.8093357151807448}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8285277193223626, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 6, 'work_done': 4.518808669878999}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.796232254623912, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 7, 'work_done': 5.206125087587832}\n", "Chosen action: sleep\n", - "{'alertness': 1.1664175691899987, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 24, 'work_done': 6.147484517835996}\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.1465772634559213, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 25, 'work_done': 7.0768672987196295}\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.1246959925197908, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 26, 'work_done': 7.99292166555435}\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.1005689711021216, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 27, 'work_done': 8.894136504465557}\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.0739719775252556, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 28, 'work_done': 9.778821843487096}\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.0446597467738994, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 29, 'work_done': 10.645087015284087}\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.0123642820754488, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 30, 'work_done': 11.490816283595933}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9767930928028127, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 8, 'time_elapsed': 31, 'work_done': 12.313641737500728}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9376273700060483, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 9, 'time_elapsed': 32, 'work_done': 13.110913283344782}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8945201150649622, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 33, 'work_done': 13.879665607886498}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8470942418873955, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 34, 'work_done': 14.61658205252349}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7949406788089777, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 35, 'work_done': 15.317955432135285}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7376165029101089, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 36, 'work_done': 15.979645957292423}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6746431468531124, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 37, 'work_done': 16.59703657813913}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6055047265097656, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 38, 'work_done': 17.164986262237054}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.529646546488522, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 39, 'work_done': 17.67778194284606}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.44647384999459966, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 40, 'work_done': 18.129090118179572}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3553508889797435, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 41, 'work_done': 18.511909327921373}\n", + "{'alertness': 1.016310273755929, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 6929, 'work_done': 336.59534552171453}\n", + "\n", "Chosen action: sleep\n", - 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"Chosen action: do_nothing\n", - "HEART_ATTACK\n", - "{'alertness': 0.4941750081774299, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 1196, 'work_done': 275.07292609959654}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4110023116835075, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 1197, 'work_done': 275.4951564163014}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3198793506686513, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 1198, 'work_done': 275.84845015174415}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.22012886154896616, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 1199, 'work_done': 276.12509844574083}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.11103204035335323, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 1200, 'work_done': 276.31664400076767}\n", - "Chosen action: do_nothing\n", - 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"Chosen action: do_nothing\n", - "{'alertness': 0.602631379775878, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 1438, 'work_done': 323.40119752241026}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5670601905032419, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 8, 'time_elapsed': 1439, 'work_done': 323.91168223424455}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5278944677064775, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 9, 'time_elapsed': 1440, 'work_done': 324.3934384779324}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4847872127653914, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 1441, 'work_done': 324.8433151170003}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4373613395878246, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 1442, 'work_done': 325.25781658934073}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.38520777650940685, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 1443, 'work_done': 325.6330682080008}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3278836006105381, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 1444, 'work_done': 325.9647792191089}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.2649102445535416, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 1445, 'work_done': 326.24820387472147}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.1957718242101948, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 1446, 'work_done': 326.47810090944563}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.11991364418895124, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 1447, 'work_done': 326.64869195616586}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.036740947695028864, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 1448, 'work_done': 326.7536195903108}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.054382013319827296, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 1449, 'work_done': 326.7859058416427}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.15413250243951243, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 1450, 'work_done': 326.7379121407136}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.26322932363512536, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 1451, 'work_done': 326.60130175311184}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.3824322456572429, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 21, 'time_elapsed': 1452, 'work_done': 326.36700577564557}\n", - "Chosen action: sleep\n", - "{'alertness': 0.8509720673581842, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1469, 'work_done': 327.0848308835079}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8311317616241067, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 1470, 'work_done': 327.7891302528263}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8092504906879763, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 1471, 'work_done': 328.4784229518319}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7851234692703071, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 1472, 'work_done': 329.15106199950907}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7585264756934412, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 1473, 'work_done': 329.8052154650481}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7292142449420849, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 1474, 'work_done': 330.4388455187865}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6969187802436343, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 1475, 'work_done': 331.0496852783363}\n", - 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"Chosen action: do_nothing\n", - "{'alertness': 0.8067380139189244, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 370, 'work_done': 88.60317442766471}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7494138380200557, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 371, 'work_done': 89.27389442424872}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6864404819630592, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 372, 'work_done': 89.90045843046015}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6173020616197124, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 373, 'work_done': 90.47772971661118}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5414438815984688, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 374, 'work_done': 90.99999833734742}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4582711851045464, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 375, 'work_done': 91.46093248429797}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3671482240896902, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 376, 'work_done': 91.85353072431272}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.2673977349700051, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 377, 'work_done': 92.17007658713113}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.15830091377439215, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 378, 'work_done': 92.40209712852821}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.0390979917522746, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 21, 'time_elapsed': 379, 'work_done': 92.54032715236625}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.09101048261072325, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 22, 'time_elapsed': 380, 'work_done': 92.57468068381836}\n", - "Chosen action: do_nothing\n", - 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"Chosen action: sleep\n", - "HEART_ATTACK\n", - "{'alertness': 0.812135063318335, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 403, 'work_done': 90.61662408560035}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7922947575842575, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 404, 'work_done': 91.29146467185453}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.770413486648127, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 405, 'work_done': 91.95112587760262}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7462864652304578, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 406, 'work_done': 92.59394705994562}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.719689471653592, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 407, 'work_done': 93.21808208066425}\n", - "Chosen action: do_nothing\n", - 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"{'alertness': 0.5991868892466863, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 1146, 'work_done': 260.50921749684846}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5517610160691195, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 1147, 'work_done': 261.01692995928283}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4996074529907018, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 1148, 'work_done': 261.48626352719924}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.44228327709183307, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 1149, 'work_done': 261.91296003244577}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3793099210348366, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 1150, 'work_done': 262.29230064433625}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.31017150069148974, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 1151, 'work_done': 262.61906391440317}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.23431332067024618, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 1152, 'work_done': 262.88748272354803}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.1511406241763238, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 1153, 'work_done': 263.09120089311494}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.06001766316146763, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 1154, 'work_done': 263.2232303918299}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.039732825958217505, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 1155, 'work_done': 263.2759102177178}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.14882964715383043, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 1156, 'work_done': 263.24086813374447}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.268032569175948, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 21, 'time_elapsed': 1157, 'work_done': 263.108986460947}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.39814104353894586, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 22, 'time_elapsed': 1158, 'work_done': 262.8703730574584}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.5399921084394337, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 23, 'time_elapsed': 1159, 'work_done': 262.5143384177585}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.6944573735229684, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 24, 'time_elapsed': 1160, 'work_done': 262.02937951033056}\n", - "Chosen action: sleep\n", - "{'alertness': 0.7259234962148495, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1177, 'work_done': 262.6516671821764}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7060831904807721, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 1178, 'work_done': 263.25993737636225}\n", - 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"Chosen action: do_nothing\n", - "{'alertness': 0.7431262542526804, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 380, 'work_done': 91.56644168126772}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6909726911742626, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 381, 'work_done': 92.18812015512066}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6336485152753939, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 382, 'work_done': 92.76896538300947}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5706751592183974, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 383, 'work_done': 93.30431836541094}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5015367388750506, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 384, 'work_done': 93.78900412747207}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.425678558853807, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 385, 'work_done': 94.2172856477798}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3425058623598846, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 386, 'work_done': 94.582817465406}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.25138290134502844, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 387, 'work_done': 94.87860007861275}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.1516324122253433, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 388, 'work_done': 95.09693643848254}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.04253559102973037, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 389, 'work_done': 95.22939197395775}\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.07666733099238718, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 21, 'time_elapsed': 390, 'work_done': 95.26675962521568}\n", - "Chosen action: do_nothing\n", - 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"Chosen action: do_nothing\n", - "{'alertness': -1.2654804024106991, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 28, 'time_elapsed': 397, 'work_done': 91.92068864782492}\n", - "Chosen action: sleep\n", - "{'alertness': 0.8485146720793926, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 414, 'work_done': 92.63667023855247}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8286743663453151, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 415, 'work_done': 93.33911579749977}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8067930954091846, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 416, 'work_done': 94.02654355049265}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7826660739915154, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 417, 'work_done': 94.697305633735}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7560690804146496, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 418, 'work_done': 95.34956919797825}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7267568496632932, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 419, 'work_done': 95.98129546608}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6944613849648427, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 420, 'work_done': 96.59021658796982}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6588901956922065, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 8, 'time_elapsed': 421, 'work_done': 97.1738101512054}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6197244728954422, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 9, 'time_elapsed': 422, 'work_done': 97.72927123045758}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.576617217954356, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 423, 'work_done': 98.25348189830942}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5291913447767893, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 424, 'work_done': 98.74297817572962}\n", - 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"Chosen action: do_nothing\n", - "{'alertness': 0.645323454942534, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 359, 'work_done': 80.16768585141268}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6211964335248648, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 360, 'work_done': 80.71235404785368}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5945994399479989, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 361, 'work_done': 81.2377442703842}\n", - "Chosen action: do_nothing\n", - "HEART_ATTACK\n", - "{'alertness': 0.5652872091966425, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 362, 'work_done': 81.74176134767002}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.532991744498192, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 363, 'work_done': 82.22207998176232}\n", - "Chosen action: do_nothing\n", - 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"{'alertness': -0.8951874216116391, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 27, 'time_elapsed': 1323, 'work_done': 301.882082584408}\n", - "Chosen action: do_nothing\n", - "{'alertness': -1.1093524385690805, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 28, 'time_elapsed': 1324, 'work_done': 301.0712935453221}\n", - "Chosen action: do_nothing\n", - "{'alertness': -1.3408276550700629, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 29, 'time_elapsed': 1325, 'work_done': 300.0626548011377}\n", - "Chosen action: sleep\n", - "{'alertness': 0.9971589229114644, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1342, 'work_done': 300.8874636754882}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9773186171773869, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 1343, 'work_done': 301.6994070925359}\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9554373462412564, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 1344, 'work_done': 302.49705860978594}\n", - 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"\n", - "Chosen action: sleep\n", - "{'alertness': 0.7148610489749045, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 394, 'work_done': 87.13383199799283}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6950207432408271, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 395, 'work_done': 87.73344810124068}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6731394723046966, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 396, 'work_done': 88.31748209636179}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6490124508870274, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 397, 'work_done': 88.88424173775685}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6224154573101616, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 398, 'work_done': 89.43184807660408}\n", - "\n", - 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"\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.1352309162895324, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 436, 'work_done': 98.72749207438478}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.1029354515910819, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 437, 'work_done': 99.63586969433163}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.0673642623184456, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 8, 'time_elapsed': 438, 'work_done': 100.52218395974653}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 1.0281985395216813, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 9, 'time_elapsed': 439, 'work_done': 101.3838411370644}\n", - "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9850912845805951, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 440, 'work_done': 102.21793206480638}\n", - 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"Chosen action: do_nothing\n", - "{'alertness': 0.3092779647711635, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 1548, 'work_done': 353.0484108626269}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8073372491229288, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16092, 'work_done': 772.5276022121872}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.20952747565147833, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 1549, 'work_done': 353.3160716145642}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8519345307748065, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16109, 'work_done': 773.2461489648665}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.10043065445586541, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 1550, 'work_done': 353.4985047463455}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7002194485557468, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16126, 'work_done': 773.848384133561}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.018772267566252138, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 21, 'time_elapsed': 1551, 'work_done': 353.5864744526491}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9202864285300566, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16143, 'work_done': 774.6176094968112}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.14888074192925, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 22, 'time_elapsed': 1552, 'work_done': 353.5699343823232}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9662828908700366, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16160, 'work_done': 775.4202796173856}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.29073180682973776, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 23, 'time_elapsed': 1553, 'work_done': 353.4380071558756}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8277944840014542, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16177, 'work_done': 776.120661082096}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.44519707191327246, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 24, 'time_elapsed': 1554, 'work_done': 353.1789727058029}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7330014982826624, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16194, 'work_done': 776.7484467227729}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.613178686779348, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 25, 'time_elapsed': 1555, 'work_done': 352.7802656215275}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8940218062976046, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16211, 'work_done': 777.4983336688349}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.7956042105857043, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 26, 'time_elapsed': 1556, 'work_done': 352.2284809754332}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9153797262220709, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16228, 'work_done': 778.2639593536643}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.9934203220271225, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 27, 'time_elapsed': 1557, 'work_done': 351.5093873999006}\n", + "Chosen action: sleep\n", + "{'alertness': 0.831949672623709, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16245, 'work_done': 778.967477215605}\n", "\n", "Chosen action: sleep\n", - "{'alertness': 0.7054882813536502, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1574, 'work_done': 352.1157438766551}\n", + "{'alertness': 0.9305196118874925, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16262, 'work_done': 779.7441903172537}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6856479756195727, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 1575, 'work_done': 352.70800854164753}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8776716857849863, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16279, 'work_done': 780.4819528964024}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6637667046834422, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 1576, 'work_done': 353.2846544751388}\n", + "Chosen action: sleep\n", + "{'alertness': 1.2736557317653678, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16296, 'work_done': 781.492533423443}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.639639683265773, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 1577, 'work_done': 353.8439865758843}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8541545041814783, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16313, 'work_done': 782.2127438560805}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6130426896889072, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 1578, 'work_done': 354.3841229341718}\n", + "Chosen action: sleep\n", + "{'alertness': 1.044202835133661, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16330, 'work_done': 783.0707833028918}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5837304589375508, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 1579, 'work_done': 354.90297426162596}\n", + "Chosen action: sleep\n", + "{'alertness': 1.1746576480267057, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16347, 'work_done': 784.0175954385384}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5514349942391004, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 1580, 'work_done': 355.3982212387186}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9904061727274196, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16364, 'work_done': 784.8375843308525}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5158638049664642, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 8, 'time_elapsed': 1581, 'work_done': 355.8672896551172}\n", + "Chosen action: sleep\n", + "{'alertness': 1.0707577904077015, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16381, 'work_done': 785.7141055175456}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4766980821696999, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 9, 'time_elapsed': 1582, 'work_done': 356.30732324207025}\n", + "Chosen action: sleep\n", + "{'alertness': 1.2415208470530947, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16398, 'work_done': 786.7043467753156}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.43359082722861375, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 1583, 'work_done': 356.7151541324116}\n", + "Chosen action: sleep\n", + "{'alertness': 1.0505589301415208, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16415, 'work_done': 787.5668283736637}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.38616495405104695, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 1584, 'work_done': 357.087270934991}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9297379771672813, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16432, 'work_done': 788.34297048217}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.3340113909726292, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 1585, 'work_done': 357.41978447872395}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8209059261657786, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16449, 'work_done': 789.0381436295463}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.2766872150737605, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 1586, 'work_done': 357.7083913687327}\n", + "Chosen action: sleep\n", + "{'alertness': 1.1264244558216994, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16466, 'work_done': 789.9527351531224}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.21371385901676399, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 1587, 'work_done': 357.9483356038019}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8499712424788641, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16483, 'work_done': 790.6698096219574}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.14457543867341716, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 1588, 'work_done': 358.1343686293308}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8436480592950667, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16500, 'work_done': 791.3821361410194}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.06871725865217361, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 16, 'time_elapsed': 1589, 'work_done': 358.2607083391885}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7578779807374446, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16517, 'work_done': 792.0291618371004}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.01445543784174877, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 17, 'time_elapsed': 1590, 'work_done': 358.32099768596055}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8029531525726301, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16534, 'work_done': 792.7107105215872}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.10557839885660493, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 18, 'time_elapsed': 1591, 'work_done': 358.3082637004802}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8575979842167625, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16551, 'work_done': 793.4334992445469}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.20532888797629006, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 19, 'time_elapsed': 1592, 'work_done': 358.21487784247216}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8590550711669053, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16568, 'work_done': 794.1573781095641}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': -0.314425709171903, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 20, 'time_elapsed': 1593, 'work_done': 358.03251868521556}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7636275927124819, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16585, 'work_done': 794.8088320092978}\n", "\n", "Chosen action: sleep\n", - "{'alertness': 1.0053236802890488, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 1610, 'work_done': 358.86313884087036}\n", + "{'alertness': 0.9519702182274946, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16602, 'work_done': 795.6011538413933}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9854833745549714, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 2, 'time_elapsed': 1611, 'work_done': 359.68093327757003}\n", + "Chosen action: sleep\n", + "{'alertness': 1.1025439129416352, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16619, 'work_done': 796.499527037484}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9636021036188409, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 3, 'time_elapsed': 1612, 'work_done': 360.4844788597858}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8403552627367065, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16636, 'work_done': 797.2093773608312}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9394750822011717, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 4, 'time_elapsed': 1613, 'work_done': 361.27218928037894}\n", + "Chosen action: sleep\n", + "{'alertness': 1.1645969931173934, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16653, 'work_done': 798.1495291498856}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.9128780886243059, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 5, 'time_elapsed': 1614, 'work_done': 362.0422958605896}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9591753321385971, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16670, 'work_done': 798.9470671042734}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8835658578729495, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 6, 'time_elapsed': 1615, 'work_done': 362.79282617354335}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8538986426333456, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16687, 'work_done': 799.6670858498644}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8512703931744989, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 7, 'time_elapsed': 1616, 'work_done': 363.5215803124135}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8424878566441558, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16704, 'work_done': 800.378540180576}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.8156992039018628, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 8, 'time_elapsed': 1617, 'work_done': 364.2261046379282}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8844882081533402, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16721, 'work_done': 801.1213654424333}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7765334811050985, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 9, 'time_elapsed': 1618, 'work_done': 364.9036628657776}\n", + "Chosen action: sleep\n", + "{'alertness': 0.7810715960506831, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16738, 'work_done': 801.7862106091231}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.7334262261640123, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 10, 'time_elapsed': 1619, 'work_done': 365.55120439615473}\n", + "Chosen action: sleep\n", + "{'alertness': 1.0562823671150146, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16755, 'work_done': 802.6526823256647}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6860003529864456, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 11, 'time_elapsed': 1620, 'work_done': 366.16532984889284}\n", + "Chosen action: sleep\n", + "{'alertness': 1.122459828541292, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16772, 'work_done': 803.5645932910676}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.6338467899080278, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 12, 'time_elapsed': 1621, 'work_done': 366.742253852133}\n", + "Chosen action: sleep\n", + "{'alertness': 0.8554136287909352, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16789, 'work_done': 804.2857468128299}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.576522614009159, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 13, 'time_elapsed': 1622, 'work_done': 367.27776524323315}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9754497273257554, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16806, 'work_done': 805.0950163461138}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.5135492579521626, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 14, 'time_elapsed': 1623, 'work_done': 367.76718497944}\n", + "Chosen action: sleep\n", + "{'alertness': 0.9428693956128831, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16823, 'work_done': 805.880730362802}\n", "\n", - "Chosen action: do_nothing\n", - "{'alertness': 0.4444108376088157, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 15, 'time_elapsed': 1624, 'work_done': 368.2053222219783}\n", + "Chosen action: sleep\n", + "{'alertness': 1.27049255500817, 'hypertension': 0.0, 'intoxication': 0.0, 'time_since_slept': 1, 'time_elapsed': 16840, 'work_done': 806.8893245750555}\n", "\n", - "Episode 1: reward: 0.227, steps: 1000\n" + "Episode 1: reward: 0.048, steps: 1000\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 62, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } diff --git a/heartpole/__init__.py b/heartpole/__init__.py index b6cd027..a779796 100644 --- a/heartpole/__init__.py +++ b/heartpole/__init__.py @@ -4,11 +4,11 @@ def sigmoid(x): return 1 / (1 + np.exp(-x)) -def heart_attack_risk(hypertension): - return sigmoid(hypertension - 6) +def heart_attack_risk(hypertension, heart_attack_proclivity=0.5): + return heart_attack_proclivity * sigmoid(hypertension - 6) -def heart_attack_occured(state): - return np.random.uniform(0, 1) < heart_attack_risk(state['hypertension']) +def heart_attack_occured(state, heart_attack_proclivity=0.5): + return np.random.uniform(0, 1) < heart_attack_risk(state['hypertension'], heart_attack_proclivity) def alertness_decay(time_since_slept): return sigmoid((time_since_slept - 40) / 10) @@ -90,12 +90,13 @@ def make_heartpole_obs_space(observations): return gym.spaces.Box(low,high,shape) class HeartPole(gym.Env): - def __init__(self): + def __init__(self, heart_attack_proclivity=0.5): self.actions = [do_nothing, drink_coffee, drink_beer, sleep] self.observations = ['alertness', 'hypertension', 'intoxication', 'time_since_slept', 'time_elapsed', 'work_done'] self.action_space = gym.spaces.Discrete(len(self.actions)) self.observation_space = make_heartpole_obs_space(self.observations) + self.heart_attack_proclivity = heart_attack_proclivity self.log = '' def observation(self): @@ -131,11 +132,15 @@ def step(self, action): reward = new_score - old_score - if heart_attack_occured(self.state): + if heart_attack_occured(self.state, self.heart_attack_proclivity): # We would like to avoid this self.log += 'HEART_ATTACK\n' reward -= 100 + # A heart attack is like purgatory - painful, but cleansing + # You can tell I am not a doctor + self.state['hypertension'] = 0 + self.log += str(self.state) + '\n' return self.observation(), reward, False, {}