Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
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Updated
Jul 16, 2019 - Python
Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
Comparison of bandit algorithms from the Reinforcement Learning bible.
Q-learning and SARSA algorithms from Sutton's Reinforcement Learning book.
An environment for tabular Reinforcement Learning agents.
Sutton and Barto's RL Book Exercises in Jupiter Notebook (Python3)
Selected algorithms and exercises from the book Sutton, R. S. & Barton, A.: Reinforcement Learning: An Introduction. 2nd Edition, MIT Press, Cambridge, 2018.
UC Davis Deep Reinforcement Learning Journal Club
jupyter notebook (python code) for sutton book
⚡️ Code and Notes 📝 for Grokking Deep RL and RL: An Introduction by Sutton & Barto(2nd edition, 2018) 🤘
python code successfullly reproduce the Gambler problem, Figure 4.6 of Chapter 4 on Sutton's book, Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction (Vol. 1, No. 1). Cambridge: MIT press.
Implementations of standard RL problems and algorithms
Some reinforcement learning algorithms to play snake game
Solutions of exercises in Sutton, Barto (2018)
My bachelor thesis in Bioinformatics
Exercise and assignments of Deep Reinforcement Learning Nanodegree Program offered by Udacity
My take on some problems from "Reinforcement Learning: An Introduction" by Sutton & Barto
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