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03/30/2023
Practical Policy Optimization with Personalized Experimentation
Many organizations measure treatment effects via an experimentation plat...
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01/31/2021
Fast Rates for the Regret of Offline Reinforcement Learning
We study the regret of reinforcement learning from offline data generate...
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11/05/2020
Fast Rates for Contextual Linear Optimization
Incorporating side observations of predictive features can help reduce u...
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05/06/2020
DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret
Dynamic treatment regimes (DTRs) for are personalized, sequential treatm...
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09/05/2019