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Tian-Shuo Liu

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2020 – today

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2024
[c4]
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  - conf/atal/0003LLJX024
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Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu:
Foresight Distribution Adjustment for Off-policy Reinforcement Learning. AAMAS 2024: 317-325
[c3]
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Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu:
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. ICLR 2024
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Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu:
Offline Transition Modeling via Contrastive Energy Learning. ICML 2024
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Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu:
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. ICML 2024
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  - journals/corr/abs-2407-12448
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  - https://dblp.org/rec/journals/corr/abs-2407-12448
Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu:
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. CoRR abs/2407.12448 (2024)

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