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05/15/2023
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
Recent studies have shown that episodic reinforcement learning (RL) is n...
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05/15/2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
Recently, there has been remarkable progress in reinforcement learning (...
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05/10/2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
We study multi-agent reinforcement learning in the setting of episodic M...
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03/16/2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
We study linear contextual bandits in the misspecified setting, where th...
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12/12/2022
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
We study reinforcement learning (RL) with linear function approximation....
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07/07/2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
We study federated contextual linear bandits, where M agents cooperate w...
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02/28/2022
Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds
We consider learning a stochastic bandit model, where the reward functio...
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10/25/2021
Learning Stochastic Shortest Path with Linear Function Approximation
We study the stochastic shortest path (SSP) problem in reinforcement lea...
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10/19/2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes
Reinforcement learning (RL) algorithms can be used to provide personaliz...
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06/22/2021
Provably Efficient Representation Learning in Low-rank Markov Decision Processes
The success of deep reinforcement learning (DRL) is due to the power of ...
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06/22/2021
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
We study reinforcement learning (RL) with linear function approximation....
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02/17/2021
Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation
We study the reinforcement learning for finite-horizon episodic Markov d...
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11/23/2020
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Reinforcement learning (RL) with linear function approximation has recei...
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10/01/2020
Minimax Optimal Reinforcement Learning for Discounted MDPs
We study the reinforcement learning problem for discounted Markov Decisi...
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06/23/2020