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06/26/2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning
Large transformer models trained on diverse datasets have shown a remark...
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02/19/2023
Estimating Optimal Policy Value in General Linear Contextual Bandits
In many bandit problems, the maximal reward achievable by a policy is of...
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11/03/2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
In offline reinforcement learning (RL), a learner leverages prior logged...
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12/23/2021
Model Selection in Batch Policy Optimization
We study the problem of model selection in batch policy optimization: gi...
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11/19/2020
Online Model Selection for Reinforcement Learning with Function Approximation
Deep reinforcement learning has achieved impressive successes yet often ...
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07/01/2020
Accelerated Message Passing for Entropy-Regularized MAP Inference
Maximum a posteriori (MAP) inference in discrete-valued Markov random fi...
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07/02/2019