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Jiayi Guan
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2020 – today
- 2024
- [j2]Jiayi Guan, Shangding Gu, Zhijun Li, Jing Hou, Yiqin Yang, Guang Chen, Changjun Jiang:
UAC: Offline Reinforcement Learning With Uncertain Action Constraint. IEEE Trans. Cogn. Dev. Syst. 16(2): 671-680 (2024) - [c2]Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang:
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning. CVPR 2024: 26233-26243 - [i2]Tianle Zhang, Jiayi Guan, Lin Zhao, Yihang Li, Dongjiang Li, Zecui Zeng, Lei Sun, Yue Chen, Xuelong Wei, Lusong Li, Xiaodong He:
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning. CoRR abs/2405.18729 (2024) - [i1]Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll:
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey. CoRR abs/2408.09675 (2024) - 2023
- [j1]Jiayi Guan, Guang Chen, Jin Huang, Zhijun Li, Lu Xiong, Jing Hou, Alois C. Knoll:
A Discrete Soft Actor-Critic Decision-Making Strategy With Sample Filter for Freeway Autonomous Driving. IEEE Trans. Veh. Technol. 72(2): 2593-2598 (2023) - [c1]Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang:
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning. NeurIPS 2023
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