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Introduction to Reinforcement Learning

Material for an introduction course to reinforcement learning for compute scientists

Chapters 5: Monte Carlo Methods

Example: Monte Carlo prediction and control for the 4x3 grid world.
Example: Monte Carlo prediction and control for Gymnasium’s Frozen Lake Environment.
Assignment: Implement Monte Carlo Control with an Epsilon-soft policy. Implement the algorithm an experiment with the Frozen Lake environment.

License

© 2026 Michael Hahsler. All code and documents in this repository are provided under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.

CC BY-SA 4.0