Reinforcement Learning with Derivative-Free Exploration. - Xiong-Hui Chen; Yang Yu 001 (AAMAS, 2019)

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

Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. - Xiong-Hui Chen; Shengyi Jiang; Feng Xu 007; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2021)

Offline Model-based Adaptable Policy Learning. - Xiong-Hui Chen; Yang Yu 001; Qingyang Li; Fan-Ming Luo; Zhiwei (Tony) Qin; Wenjie Shang; Jieping Ye (NeurIPS, 2021)

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Rongjun Qin; Xingyuan Zhang; Songyi Gao; Xiong-Hui Chen; Zewen Li; Weinan Zhang 001; Yang Yu 001 (NeurIPS, 2022)

Offline Reinforcement Learning with Causal Structured World Models. - Zheng-Mao Zhu; Xiong-Hui Chen; Hong-Long Tian; Kun Zhang 001; Yang Yu 001 (CoRR, 2022)

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. - Xiong-Hui Chen; Bowei He; Yang Yu 001; Qingyang Li; Zhiwei Tony Qin; Wenjie Shang; Jieping Ye; Chen Ma 001 (ICDE, 2023)

Object-Oriented Option Framework for Robotics Manipulation in Clutter. - Jing-Cheng Pang; Si-Hang Yang; Xiong-Hui Chen; Xinyu Yang; Yang Yu 001; Mas Ma; Ziqi Guo; Howard Yang; Bill Huang (IROS, 2023)

Adversarial Counterfactual Environment Model Learning. - Xiong-Hui Chen; Yang Yu 001; Zhengmao Zhu; Zhihua Yu; Zhenjun Chen; Chenghe Wang; Yinan Wu; Rong-Jun Qin; Hongqiu Wu; Ruijin Ding; Fangsheng Huang (NeurIPS, 2023)

Natural Language Instruction-following with Task-related Language Development and Translation. - Jing-Cheng Pang; Xinyu Yang; Si-Hang Yang; Xiong-Hui Chen; Yang Yu 001 (NeurIPS, 2023)

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Anqi Huang; Kai Xu 004; Zongzhang Zhang; Yang Yu 001 (CoRR, 2023)

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. - Xiong-Hui Chen; Fan-Ming Luo; Yang Yu 001; Qingyang Li; Zhiwei Qin 001; Wenjie Shang; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. - Chengxing Jia; Chenxiao Gao; Hao Yin; Fuxiang Zhang; Xiong-Hui Chen; Tian Xu 003; Lei Yuan 005; Zongzhang Zhang; Zhi-Hua Zhou; Yang Yu 001 (ICLR, 2024)

Language Model Self-improvement by Reinforcement Learning Contemplation. - Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu 003; Zongzhang Zhang; Yang Yu 001 (ICLR, 2024)

Policy-conditioned Environment Models are More Generalizable. - Ruifeng Chen 003; Xiong-Hui Chen; Yihao Sun; Siyuan Xiao; Minhui Li; Yang Yu 001 (ICML, 2024)

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; XuHui Liu; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Yang Yu 001; Anqi Huang; Kai Xu 004; et al. (ICML, 2024)

Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting. - Xiong-Hui Chen; Ziyan Wang; Yali Du 001; Shengyi Jiang; Meng Fang; Yang Yu 001; Jun Wang 012 (NeurIPS, 2024)

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (NeurIPS, 2024)

A survey on model-based reinforcement learning. - Fan-Ming Luo; Tian Xu 003; Hang Lai; Xiong-Hui Chen; Weinan Zhang 001; Yang Yu 001 (Sci. China Inf. Sci., 2024)

Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (CoRR, 2024)

NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios. - Songyi Gao; Zuolin Tu; Rong-Jun Qin; Yi-Hao Sun; Xiong-Hui Chen; Yang Yu 001 (CoRR, 2025)

Generalist Reward Models: Found Inside Large Language Models. - Yi-Chen Li 001; Tian Xu 003; Yang Yu 001; Xuqin Zhang; Xiong-Hui Chen; Zhongxiang Ling; Ningjing Chao; Lei Yuan 005; Zhi-Hua Zhou (CoRR, 2025)

Group Sequence Policy Optimization. - Chujie Zheng; Shixuan Liu; Mingze Li; Xiong-Hui Chen; Bowen Yu 002; Chang Gao; Kai Dang; Yuqiong Liu; Rui Men; An Yang; Jingren Zhou 001; Junyang Lin (CoRR, 2025)