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07/11/2023
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks
The success of the GPT series proves that GPT can extract general inform...
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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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05/09/2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing
The knowledge distillation uses a high-performance teacher network to gu...
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03/17/2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
We study reward-free reinforcement learning (RL) with linear function ap...
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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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01/24/2022
Learning Contextual Bandits Through Perturbed Rewards
Thanks to the power of representation learning, neural contextual bandit...
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10/12/2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
We study the model-based reward-free reinforcement learning with linear ...
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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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10/02/2020
Neural Thompson Sampling
Thompson Sampling (TS) is one of the most effective algorithms for solvi...
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05/04/2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Actor-critic (AC) methods have exhibited great empirical success compare...
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07/27/2018
