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05/25/2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
While distributional reinforcement learning (RL) has demonstrated empiri...
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05/24/2023
Provable Offline Reinforcement Learning with Human Feedback
In this paper, we investigate the problem of offline reinforcement learn...
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02/05/2023
Refined Value-Based Offline RL under Realizability and Partial Coverage
In offline reinforcement learning (RL) we have no opportunity to explore...
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08/17/2022
Debiased Inference on Identified Linear Functionals of Underidentified Nuisances via Penalized Minimax Estimation
We study generic inference on identified linear functionals of nonunique...
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12/21/2021
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding
We study the problem of constructing bounds on the average treatment eff...
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12/17/2020
