Python libraries for solving reinforcement learning problems implemented in OpenAI gym

• d3rlpy

  2 620 8.9 Python

  An offline deep reinforcement learning library

• rlai

  1 4 8.8 Python

  This is a Python implementation of concepts and algorithms described in "Reinforcement Learning: An Introduction" (Sutton and Barto, 2018, 2nd edition).

  I've worked through several OpenAI Gym environments with my RL library, which is based almost entirely on the RL textbook by Sutton and Barto (case studies here). No neural networks, nothing too fancy. But I do explore JAX for policy gradient methods / continuous control.

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• Coursera_Reinforcement_Learning

  1 167 10.0 Jupyter Notebook

  Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

  I meant State Of The Art (SOTA) ;) Look here for a simple implementation of Expected Sarsa ( you can also find sarsa on github) https://github.com/LucasBoTang/Coursera_Reinforcement_Learning/blob/master/02Sample-based_Learning_Methods/02Q-Learning_and_Expected_Sarsa.ipynb

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