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Mingqi Yuan

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RLLTE: Long-Term Evolution Project of Reinforcement Learning

Sep 28, 2023
Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng

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Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Jan 26, 2023
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

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Tackling Visual Control via Multi-View Exploration Maximization

Nov 28, 2022
Mingqi Yuan, Xin Jin, Bo Li, Wenjun Zeng

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Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Sep 25, 2022
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

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Rényi State Entropy for Exploration Acceleration in Reinforcement Learning

Mar 08, 2022
Mingqi Yuan, Man-on Pun, Dong Wang

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Intrinsically-Motivated Reinforcement Learning: A Brief Introduction

Mar 03, 2022
Mingqi Yuan

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Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

Jul 19, 2021
Mingqi Yuan, Mon-on Pun, Yi Chen, Dong Wang, Haojun Li

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Hybrid Adversarial Inverse Reinforcement Learning

Feb 24, 2021
Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao

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