M2 Artificial Intelligence - Reinforcement Learning

2025-2026

General Resources

Excellent resources for Reinforcement Learning:

• A. Agarwal, N. Jiang, S. M. Kakade, W. Sun - Reinforcement Learning: Theory and Algorithms (2022)
• J. Kwon - An Introduction to Reinforcement Learning From theory to algorithms (M2 INRAE, 2024)

Course Material

Lecture Slides

• Lecture

Notebooks

Practical Session 1: Markov Decision Processes and Finite-Horizon Dynamic Programming

• Notebook - Solution

Practical Session 2: Discounted Infinite-horizon Markov Decision Problems and Iterative Methods

• Notebook - Solution

Practical Session 3: Stochastic Approximation and Reinforcement Learning

• Notebook - Solution

Practical Session 4: Approximation Methods in Reinforcement Learning

• Notebook