Home
Weekly Lectures
Week 8: Introduction, Randomized Trial and Propensity Score
Week 10: Robust Estimators and Instrumental Variables
Week 11: Estimating the Optimal Treatment Regime
Week 12: Dynamic Treatment Regime
Week 13: Markov Decision Process and Bellman Equation
Week 14: Algorithms for Policy Learning
Week 15: Other Topics in Reinforcement Learning
Homework
Syllabus
Estimating the Optimal Treatment Rule
Topics and Objectives (Mar 25 – Mar 29)
Direct learning vs. indirect learning
Virtual twins and outcome regression approach
Linear model approach with binary treatment
Outcome weighted learning
Lecture Notes
Notes: Optimal Treatment Regime
Notes: Outcome Weighted Learning
Notes: Generalized Random Forests
Homework
See
Homework 3
for details