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)

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.

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)

License

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