An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving

1'st Place approach for CVPR 2020 Continual Learning Challenge

All in one - Everything useful about Aircrack-ng

Use Deep Q-Learning model to optimize energy consumption of a data center

Implementation of HindSight Experience Replay paper with Pytorch

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Prioritized Sequence Experience Replay

Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.

RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

A reinforcement learning agent trained without prior human knowledge

Train an agent using RL to navigate (and collect bananas) in a large, square world

RL with OpenAI Gym

Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.

M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation

A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.