RL

Chapters 17 and 22: Reinforcement Learning and MDPs

Chapter 17: MDPs

• Example: Markov Decision Processes solved with Value Iteration and Policy Iteration (in R)
• Example: Solving a Maze using RL (Value Iteration) (in R)

Chapter 22: Reinforcement Learning

• Example: A Q-Learning Agent (in R)
• Connection to playing games (Chapter 5): Learning to Play Tic-Tac-Toe with Q-Learning implements a simple table-based Q-learning algorithm to play the game. (Python)
• Example: Solving a Maze using RL (Q-Learning) (in R)

More on Reinforcement Learning

These examples implement methods described in the book Reinforcement Learning: An Introduction by Sutton and Barto (2020).

• Example: Monte Carlo Control (in R)
• Example: TD Control with Sarsa, Q-Learning and Expected Sarsa (in R)
• R package: markovDP

Other Software (Python)

• Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms.
• CleanRL is a Deep Reinforcement Learning library.

License

All code and documents in this repository is provided under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License