NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios. - Gao, Songyi; Tu, Zuolin; Qin, Rong-Jun; Sun, Yi-Hao; Chen, Xiong-Hui; Yu, Yang (CoRR, 2025)

Generalist Reward Models: Found Inside Large Language Models. - Li, Yi-Chen; Xu, Tian; Yu, Yang; Zhang, Xuqin; Chen, Xiong-Hui; Ling, Zhongxiang; Chao, Ningjing; Yuan, Lei; Zhou, Zhi-Hua (CoRR, 2025)

Group Sequence Policy Optimization. - Zheng, Chujie; Liu, Shixuan; Li, Mingze; Chen, Xiong-Hui; Yu, Bowen; Gao, Chang; Dang, Kai; Liu, Yuqiong; Men, Rui; Yang, An; Zhou, Jingren; Lin, Junyang (CoRR, 2025)

A survey on model-based reinforcement learning. - Luo, Fan-Ming; Xu, Tian; Lai, Hang; Chen, Xiong-Hui; Zhang, Weinan; Yu, Yang (Sci. China Inf. Sci., 2024)

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. - Jia, Chengxing; Gao, Chenxiao; Yin, Hao; Zhang, Fuxiang; Chen, Xiong-Hui; Xu, Tian; Yuan, Lei; Zhang, Zongzhang; Zhou, Zhi-Hua; Yu, Yang (2024)

Language Model Self-improvement by Reinforcement Learning Contemplation. - Pang, Jing-Cheng; Wang, Pengyuan; Li, Kaiyuan; Chen, Xiong-Hui; Xu, Jiacheng; Zhang, Zongzhang; Yu, Yang (2024)

Policy-conditioned Environment Models are More Generalizable. - Chen, Ruifeng; Chen, Xiong-Hui; Sun, Yihao; Xiao, Siyuan; Li, Minhui; Yu, Yang (2024)

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. - Chen, Xiong-Hui; Ye, Junyin; Zhao, Hang; Li, Yi-Chen; Liu, XuHui; Shi, Haoran; Xu, Yu-Yan; Ye, Zhihao; Yang, Si-Hang; Yu, Yang; Huang, Anqi; Xu, Kai; et al. (2024)

Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting. - Chen, Xiong-Hui; Wang, Ziyan; Du, Yali; Jiang, Shengyi; Fang, Meng; Yu, Yang; Wang, Jun (2024)

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Pang, Jing-Cheng; Yang, Si-Hang; Li, Kaiyuan; Zhang, Jiaji; Chen, Xiong-Hui; Tang, Nan; Yu, Yang (2024)

Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Pang, Jing-Cheng; Yang, Si-Hang; Li, Kaiyuan; Zhang, Jiaji; Chen, Xiong-Hui; Tang, Nan; Yu, Yang (CoRR, 2024)

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. - Chen, Xiong-Hui; Luo, Fan-Ming; Yu, Yang; Li, Qingyang; Qin, Zhiwei; Shang, Wenjie; Ye, Jieping (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. - Chen, Xiong-Hui; He, Bowei; Yu, Yang; Li, Qingyang; Qin, Zhiwei Tony; Shang, Wenjie; Ye, Jieping; Ma, Chen (2023)

Object-Oriented Option Framework for Robotics Manipulation in Clutter. - Pang, Jing-Cheng; Yang, Si-Hang; Chen, Xiong-Hui; Yang, Xinyu; Yu, Yang; Ma, Mas; Guo, Ziqi; Yang, Howard; Huang, Bill (2023)

Adversarial Counterfactual Environment Model Learning. - Chen, Xiong-Hui; Yu, Yang; Zhu, Zhengmao; Yu, Zhihua; Chen, Zhenjun; Wang, Chenghe; Wu, Yinan; Qin, Rong-Jun; Wu, Hongqiu; Ding, Ruijin; Huang, Fangsheng (2023)

Natural Language Instruction-following with Task-related Language Development and Translation. - Pang, Jing-Cheng; Yang, Xinyu; Yang, Si-Hang; Chen, Xiong-Hui; Yu, Yang (2023)

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. - Chen, Xiong-Hui; He, Bowei; Yu, Yang; Li, Qingyang; Qin, Zhiwei Tony; Shang, Wenjie; Ye, Jieping; Ma, Chen (CoRR, 2023)

Language Model Self-improvement by Reinforcement Learning Contemplation. - Pang, Jing-Cheng; Wang, Pengyuan; Li, Kaiyuan; Chen, Xiong-Hui; Xu, Jiacheng; Zhang, Zongzhang; Yu, Yang (CoRR, 2023)

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. - Chen, Xiong-Hui; Ye, Junyin; Zhao, Hang; Li, Yi-Chen; Shi, Haoran; Xu, Yu-Yan; Ye, Zhihao; Yang, Si-Hang; Huang, Anqi; Xu, Kai; Zhang, Zongzhang; Yu, Yang (CoRR, 2023)

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Qin, Rongjun; Zhang, Xingyuan; Gao, Songyi; Chen, Xiong-Hui; Li, Zewen; Zhang, Weinan; Yu, Yang (2022)

Offline Reinforcement Learning with Causal Structured World Models. - Zhu, Zheng-Mao; Chen, Xiong-Hui; Tian, Hong-Long; Zhang, Kun; Yu, Yang (CoRR, 2022)

Adversarial Counterfactual Environment Model Learning. - Chen, Xiong-Hui; Yu, Yang; Zhu, Zheng-Mao; Yu, Zhihua; Chen, Zhenjun; Wang, Chenghe; Wu, Yinan; Wu, Hongqiu; Qin, Rong-Jun; Ding, Ruijin; Huang, Fangsheng (CoRR, 2022)

A Survey on Model-based Reinforcement Learning. - Luo, Fan-Ming; Xu, Tian; Lai, Hang; Chen, Xiong-Hui; Zhang, Weinan; Yu, Yang (CoRR, 2022)

Offline Model-based Adaptable Policy Learning. - Chen, Xiong-Hui; Yu, Yang; Li, Qingyang; Luo, Fan-Ming; Qin, Zhiwei (Tony); Shang, Wenjie; Ye, Jieping (2021)

Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. - Chen, Xiong-Hui; Jiang, Shengyi; Xu, Feng; Zhang, Zongzhang; Yu, Yang (2021)

Efficient Exploration by Novelty-Pursuit. - Li, Ziniu; Chen, Xiong-Hui (2020)

Reinforcement Learning with Derivative-Free Exploration. - Chen, Xiong-Hui; Yu, Yang (2019)