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Activity Details

2 ! Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
When Causal Inference Meets Reinforcement Learning: The Story of Mobile-Delivered Interventions — Invited Papers
IMS, ENAR, Biometrics Section
Organizer(s): Min Qian, Columbia University
Chair(s): Chengchun Shi, LSE
1:35 PM Assessing Time-Varying Causal Effects in the Presence of Cluster-Level Treatment Effect Heterogeneity
Jieru Hera Shi, University of Michigan, Ann Arbor; Zhenke Wu, University of Michigan, Ann Arbor; Walter Dempsey, University of Michigan
2:00 PM Policy Evaluation Under Interference
Stefan Wager, Stanford University
2:25 PM We Used RL, but … Did It Work?!
Peng Liao, Harvard University; Susan Murphy, Harvard University; Predrag Klasnja, University of Michigan
2:50 PM Discussant: Michael Kosorok, University of North Carolina at Chapel Hill
3:10 PM Floor Discussion