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Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk


Jun 09, 2022
Chengyang Ying , Xinning Zhou , Hang Su , Dong Yan , Ning Chen , Jun Zhu


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Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model


Mar 15, 2022
Jialian Li , Tongzheng Ren , Dong Yan , Hang Su , Jun Zhu

* AAAI 2022 

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Policy Learning for Robust Markov Decision Process with a Mismatched Generative Mode


Mar 13, 2022
Jialian Li , Tongzheng Ren , Dong Yan , Hang Su , Jun Zhu

* AAAI 2022 

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Tianshou: a Highly Modularized Deep Reinforcement Learning Library


Jul 29, 2021
Jiayi Weng , Huayu Chen , Dong Yan , Kaichao You , Alexis Duburcq , Minghao Zhang , Hang Su , Jun Zhu

* 16 pages, 5 figures, 6 tables 

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Reward Shaping via Meta-Learning


Jan 27, 2019
Haosheng Zou , Tongzheng Ren , Dong Yan , Hang Su , Jun Zhu

* first two authors contributed equally 

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Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information


Oct 10, 2018
Yichi Zhou , Tongzheng Ren , Jialian Li , Dong Yan , Jun Zhu


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