Inférence Causale pour l'Évaluation des Politiques pour Ingénieurs en Apprentissage par Renforcement Débutants

Master causal inference techniques to accurately evaluate Reinforcement Learning policies from observational data, moving beyond correlation to understand true policy impact and inform robust system design.

Foundations of Causal Inference for RL Policy Evaluation

Unit 1: Introduction to Causal Thinking

Unit 2: The Counterfactual Problem

Unit 3: Causal Graphs: DAGs

Applied Causal Methods for RL Policy Evaluation

Unit 1: Introduction to Off-Policy Evaluation

Unit 2: Inverse Probability Weighting (IPW)

Unit 3: Doubly Robust (DR) Estimation