Lei Han

According to our database, Lei Han authored at least 60 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition.

Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han

IEEE Trans. Games, March, 2024

Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models.

Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang

Nat. Mac. Intell., 2024

Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling.

Jiawei Xu, Rui Yang, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

CoRR, 2024

HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid.

Xinyu Xu, Yizheng Zhang, Yong-Lu Li, Lei Han, Cewu Lu

CoRR, 2024

HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments.

Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

CoRR, 2024

Learning Highly Dynamic Behaviors for Quadrupedal Robots.

Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement.

Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning.

Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent.

Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption.

Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automatic Curriculum for Unsupervised Reinforcement Learning.

Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Relative Policy-Transition Optimization for Fast Policy Transfer.

Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neural Categorical Priors for Physics-Based Character Control.

Qingxu Zhu, He Zhang, Mengting Lan, Lei Han

ACM Trans. Graph., December, 2023

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization.

Jiawei Xu, Shuxing Li, Rui Yang, Chun Yuan, Lei Han

J. Artif. Intell. Res., 2023

Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning.

Haojie Shi, Qingxu Zhu, Lei Han, Wanchao Chi, Tingguang Li, Max Q.-H. Meng

CoRR, 2023

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning.

Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Xiu Li, Xuelong Li

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals.

Tingguang Li, Yizheng Zhang, Chong Zhang, Qingxu Zhu, Jiapeng Sheng, Wanchao Chi, Cheng Zhou, Lei Han

IROS, 2023

CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning.

Rui Zhao, Xu Liu, Yizheng Zhang, Minghao Li, Cheng Zhou, Shuai Li, Lei Han

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Exploiting Reward Shifting in Value-Based Deep RL.

Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou

CoRR, 2022

Relative Policy-Transition Optimization for Fast Policy Transfer.

Lei Han, Jiawei Xu, Cheng Zhou, Yizheng Zhang, Zhengyou Zhang

CoRR, 2022

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.

Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RECCraft System: Towards Reliable and Efficient Collective Robotic Construction.

Qiwei Xu, Yizheng Zhang, Shenghao Zhang, Rui Zhao, Zhuoxing Wu, Dongsheng Zhang, Cheng Zhou, Xiong Li, Jiahong Chen, Zengjun Zhao, Luyang Tang, Zhengyou Zhang, Lei Han

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MHER: Model-based Hindsight Experience Replay.

Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li

CoRR, 2021

Dynamic Bottleneck for Robust Self-Supervised Exploration.

Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction.

Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game.

Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang

CoRR, 2020

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning.

Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang

CoRR, 2020

Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin.

Lei Li, Deborah Chang, Lei Han, Xiaojian Zhang, Joseph Zaia, Xiu-Feng Wan

BMC Bioinform., 2020

2019

Arena: a toolkit for Multi-Agent Reinforcement Learning.

Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang

CoRR, 2019

Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus.

Lei Han, Lei Li, Feng Wen, Lei Zhong, Tong Zhang, Xiu-Feng Wan

Bioinform., 2019

Curriculum-guided Hindsight Experience Replay.

Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.

Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Bayesian Model Averaging With Exponentiated Least Squares Loss.

Dong Dai, Lei Han, Ting Yang, Tong Zhang

IEEE Trans. Inf. Theory, 2018

Temporal Causal Inference with Time Lag.

Sizhen Du, Guojie Song, Lei Han, Haikun Hong

Neural Comput., 2018

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.

Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu

CoRR, 2018

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game.

Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang

CoRR, 2018

Exponentially Weighted Imitation Learning for Batched Historical Data.

Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Candidates vs. Noises Estimation for Large Multi-Class Classification Problem.

Lei Han, Yiheng Huang, Tong Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem.

Lei Han, Tong Zhang

CoRR, 2017

2016

Structure Feature Learning Method for Incomplete Data.

Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie

Int. J. Pattern Recognit. Artif. Intell., 2016

Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression.

Lei Han, Ting Yang, Tong Zhang

CoRR, 2016

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation.

Lei Han, Yu Zhang, Tong Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.

Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Reduction Techniques for Graph-Based Convex Clustering.

Lei Han, Yu Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-Stage Multi-Task Learning with Reduced Rank.

Lei Han, Yu Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Overlapping Decomposition for Gaussian Graphical Modeling.

Guojie Song, Lei Han, Kunqing Xie

IEEE Trans. Knowl. Data Eng., 2015

Learning Tree Structure in Multi-Task Learning.

Lei Han, Yu Zhang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Incorporating temporal smoothness and group structure in learning with incomplete data.

Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Learning Multi-Level Task Groups in Multi-Task Learning.

Lei Han, Yu Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Discriminative Feature Grouping.

Lei Han, Yu Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.

Lei Han, Yu Zhang, Guojie Song, Kunqing Xie

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

Overlapping decomposition for causal graphical modeling.

Lei Han, Guojie Song, Gao Cong, Kunqing Xie

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010

Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning.

Lei Han, Kun-Qing Xie, Guo-Jie Song

Proceedings of the Advances in Neural Networks, 2010

Locally kernel regression adapting with data distribution in prediction of traffic flow.

Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma

Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010