Han, Lei

36 publications

CoRL 2025 AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation Yizheng Zhang, Zhenjun Yu, JiaXin Lai, Cewu Lu, Lei Han

NeurIPS 2025 Learning 3D Persistent Embodied World Models Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan

NeurIPS 2025 Multi-Agent Collaboration via Evolving Orchestration Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 STAR: Efficient Preference-Based Reinforcement Learning via Dual Regularization Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, Bo Xu, Lei Han, Ying Wen, Yaodong Yang

ICLR 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

NeurIPS 2024 HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid Xinyu Xu, Yizheng Zhang, Yong-Lu Li, Lei Han, Cewu Lu

ICML 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

AAAI 2024 Relative Policy-Transition Optimization for Fast Policy Transfer Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han

NeurIPS 2024 Self-Playing Adversarial Language Game Enhances LLM Reasoning Pengyu Cheng, Yong Dai, Tianhao Hu, Han Xu, Zhisong Zhang, Lei Han, Nan Du, Xiaolong Li

ICLR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang

NeurIPS 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Lei Han, Haitao Mi, Dong Yu

ICLR 2024 Towards Robust Offline Reinforcement Learning Under Diverse Data Corruption Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang

ICCV 2023 EQ-Net: Elastic Quantization Neural Networks Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang

JAIR 2023 Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization Jiawei Xu, Shuxing Li, Rui Yang, Chun Yuan, Lei Han

CoLLAs 2023 Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang, Li Shen, Lei Han, Li Shen

NeurIPS 2023 MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J Maddison, Lei Han

NeurIPS 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou

ICLRW 2022 Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang, Li Shen, Lei Han, Li Shen

NeurIPS 2022 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han

ICLR 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

NeurIPS 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

NeurIPSW 2021 MHER: Model-Based Hindsight Experience Replay Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li

ICML 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

AAAI 2020 Gated Fully Fusion for Semantic Segmentation Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Shaohua Tan, Kuiyuan Yang

NeurIPS 2019 Curriculum-Guided Hindsight Experience Replay Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang

ICML 2019 Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang

NeurIPS 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao

AAAI 2019 Learning (from) Deep Hierarchical Structure Among Features Yu Zhang, Lei Han

ICML 2018 Candidates vs. Noises Estimation for Large Multi-Class Classification Problem Lei Han, Yiheng Huang, Tong Zhang

NeurIPS 2018 Exponentially Weighted Imitation Learning for Batched Historical Data Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang

AAAI 2016 Multi-Stage Multi-Task Learning with Reduced Rank Lei Han, Yu Zhang

AAAI 2016 Reduction Techniques for Graph-Based Convex Clustering Lei Han, Yu Zhang

IJCAI 2015 Action2Activity: Recognizing Complex Activities from Sensor Data Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum

AAAI 2015 Discriminative Feature Grouping Lei Han, Yu Zhang

AAAI 2015 Learning Multi-Level Task Groups in Multi-Task Learning Lei Han, Yu Zhang

AAAI 2014 Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework Lei Han, Yu Zhang, Guojie Song, Kunqing Xie