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05/29/2023
How to Query Human Feedback Efficiently in RL?
Reinforcement Learning with Human Feedback (RLHF) is a paradigm in which...
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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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05/17/2023
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
This paper studies tabular reinforcement learning (RL) in the hybrid set...
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07/12/2022
PAC Reinforcement Learning for Predictive State Representations
In this paper we study online Reinforcement Learning (RL) in partially o...
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06/03/2022
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
We study decentralized policy learning in Markov games where we control ...
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02/09/2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
Sample-efficiency guarantees for offline reinforcement learning (RL) oft...
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05/24/2021
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
Policy optimization, which learns the policy of interest by maximizing t...
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10/26/2020
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation
We consider the privacy problem of statistical estimation from distribut...
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09/28/2020
