Xiong-Hui Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Top Venues

Sci. China Inf. Sci.

Publications

Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. CoRR (2024)
Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR (2024)
Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
A survey on model-based reinforcement learning. Sci. China Inf. Sci. 67 (2) (2024)
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR (2024)
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE (2023)
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Fangsheng Huang
Adversarial Counterfactual Environment Model Learning. NeurIPS (2023)
Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR (2023)
Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu
Natural Language Instruction-following with Task-related Language Development and Translation. NeurIPS (2023)
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR (2023)
Jing-Cheng Pang, Si-Hang Yang, Xiong-Hui Chen, Xinyu Yang, Yang Yu, Mas Ma, Ziqi Guo, Howard Yang, Bill Huang
Object-Oriented Option Framework for Robotics Manipulation in Clutter. IROS (2023)
Rongjun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. NeurIPS (2022)
Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, Yang Yu
Offline Reinforcement Learning with Causal Structured World Models. CoRR (2022)
Xiong-Hui Chen, Yang Yu, Zheng-Mao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Hongqiu Wu, Rong-Jun Qin, Ruijin Ding, Fangsheng Huang
Adversarial Counterfactual Environment Model Learning. CoRR (2022)
Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
A Survey on Model-based Reinforcement Learning. CoRR (2022)
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
Offline Model-based Adaptable Policy Learning. NeurIPS (2021)
Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. NeurIPS (2021)
Ziniu Li, Xiong-Hui Chen
Efficient Exploration by Novelty-Pursuit. DAI (2020)
Xiong-Hui Chen, Yang Yu
Reinforcement Learning with Derivative-Free Exploration. AAMAS (2019)