2022-2023
Introduction to Machine Learning (M2 MSV)
Introduction to Reinforcement Learning (M2 DS)
- Polytechnique’s Moodle
- Lecture “room”
- Lecture 0 - Introduction to Reinforcement Learning
- Lecture 01 - Sequential Decisions, MDP and Policies
- Lecture 01 - Sequential Decisions, MDP and Policies (Annotated)
- Lecture 02 - Operations Research: Prediction and Planning
- Lecture 02 - Operations Research: Prediction and Planning (Annotated)
- Lecture 03 - Reinforcement Learning: Prediction and Planning in the Tabular Setting
- Lecture 03 - Reinforcement Learning: Prediction and Planning in the Tabular Setting (Annotated)
- Lecture 04 - Reinforcement Learning: Advanced Techniques in the Tabular Setting
- Lecture 04 - Reinforcement Learning: Advanced Techniques in the Tabular Setting (Annotated)
- Lecture 05- Reinforcement Learning: Approximation of the Value Functions
- Lecture 05 - Reinforcement Learning: Approximation of the Value Functions (Annotated)
- Lecture 06 - Reinforcement Learning: Policy Approach
- Lecture 06 - Reinforcement Learning: Policy Approach (Annotated)