Perfect Agent w/ Hand-Crafted Evaluation Function #4
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- Added test_perfect.py to implement and test the new agent logic. - The agent performs with an average score of about 950 out of a score limit of 1000. - Replaced the previous get_action function with a new agent function that determines actions based on proximity to pipes.
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PR: Perfect Agent w/ Hand-Crafted Evaluation Function
Description
This pull request introduces a new agent that utilizes a handcrafted algorithm specifically designed to excel on the benchmark. The algorithm has been carefully crafted to aid debugging RL algorithms.
Changes Made
Features
test_perfect.pyutilizes a hand-crafted evaluation function that I spent 3 weeks on.Testing
Future Work