2022-2023
·
1 min. de lecture
Introduction to Machine Learning (M2 MSV)
- Moodle de Polytechnique (archivé)
- Diapos
- Diapos annotées
Introduction to Reinforcement Learning (M2 DS)
- Moodle de Polytechnique (archivé)
- « Salle » de cours (Zoom, fermée)
- Lecture 0 - Introduction to Reinforcement Learning
- Lecture 01 - Sequential Decisions, MDP and Policies
- Lecture 01 - Sequential Decisions, MDP and Policies (version annotée)
- Lecture 02 - Operations Research: Prediction and Planning
- Lecture 02 - Operations Research: Prediction and Planning (version annotée)
- Lecture 03 - Reinforcement Learning: Prediction and Planning in the Tabular Setting
- Lecture 03 - Reinforcement Learning: Prediction and Planning in the Tabular Setting (version annotée)
- Lecture 04 - Reinforcement Learning: Advanced Techniques in the Tabular Setting
- Lecture 04 - Reinforcement Learning: Advanced Techniques in the Tabular Setting (version annotée)
- Lecture 05 - Reinforcement Learning: Approximation of the Value Functions
- Lecture 05 - Reinforcement Learning: Approximation of the Value Functions (version annotée)
- Lecture 06 - Reinforcement Learning: Policy Approach
- Lecture 06 - Reinforcement Learning: Policy Approach (version annotée)
Foundations of Machine Learning (3A, École polytechnique)
- Moodle de Polytechnique (archivé)
Machine Learning 2 (1A DSB)
- Moodle de Polytechnique (archivé)