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02/04/2023
Reinforcement Learning in Low-Rank MDPs with Density Features
MDPs with low-rank transitions – that is, the transition matrix can be f...
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06/21/2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
We study reward-free reinforcement learning (RL) under general non-linea...
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03/25/2022
Offline Reinforcement Learning Under Value and Density-Ratio Realizability: the Power of Gaps
We consider a challenging theoretical problem in offline reinforcement l...
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02/14/2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Deployment efficiency is an important criterion for many real-world appl...
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02/14/2021
Model-free Representation Learning and Exploration in Low-rank MDPs
The low rank MDP has emerged as an important model for studying represen...
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10/23/2020
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
This paper studies regret minimization with randomized value functions i...
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10/08/2020
Nonstationary Reinforcement Learning with Linear Function Approximation
We consider reinforcement learning (RL) in episodic Markov decision proc...
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07/04/2020
Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion
Langevin diffusion is a powerful method for nonconvex optimization, whic...
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05/01/2019
Information-Theoretic Considerations in Batch Reinforcement Learning
Value-function approximation methods that operate in batch mode have fou...
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10/28/2017
