2022-2023

Introduction to Machine Learning (M2 MSV)

• Polytechnique’s Moodle
• Slides
• Annotated Slides

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)

Foundation of Machine Learning (3A X)

• Polytechnique’s Moodle

Machine Learning 2 (1A DSB)

• Polytechnique’s Moodle