Lei Han

发表

Optimistic Exploration with Backward Bootstrapped Bonus for Deep Reinforcement Learning

Chenjia Bai, Zhaoran Wang, Jianye Hao, 2021 .

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads

Xiaofeng He, Wei Zhang, Junzhou Huang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Dynamic Bottleneck for Robust Self-Supervised Exploration pdf

Chenjia Bai, Zhaoran Wang, Jianye Hao, 2021, NeurIPS.

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Zhaoran Wang, Chongjie Zhang, Chenjia Bai, 2022, NeurIPS.

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

Lei Han, Dacheng Tao, Ji Liu, 2019, NeurIPS.

Curriculum-guided Hindsight Experience Replay

Lei Han, Zhengyou Zhang, Tianyi Zhou, 2019, NeurIPS.

Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

Chongjie Zhang, Meng Fang, Yali Du, 2022, ICLR.

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning

Li Shen, Lei Han, Li Shen, 2021, CoLLAs.

MHER: Model-based Hindsight Experience Replay pdf

Yali Du, Rui Yang, Lei Han, 2021, ArXiv.

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

Bin Zhao, Chenjia Bai, Lei Han, 2023, 2308.09405.

Temporal Causal Inference with Time Lag

Lei Han, Guojie Song, Haikun Hong, 2018, Neural Computation.

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning

Lei Han, Li Shen, Shenao Zhang, 2021, ArXiv.

Exploiting Reward Shifting in Value-Based Deep RL

Bolei Zhou, Lei Han, Rui Yang, 2022, ArXiv.

Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization

Lei Han, Rui Yang, Shuxing Li, 2023, J. Artif. Intell. Res..

Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping

Bolei Zhou, Lei Han, Rui Yang, 2022, 2209.07288.

Relative Policy-Transition Optimization for Fast Policy Transfer

Zhengyou Zhang, Cheng Zhou, Lei Han, 2022, ArXiv.

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

Bin Zhao, Chenjia Bai, Lei Han, 2023, ArXiv.

Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

He Zhang, Lingzhu Xiang, Jie Li, 2023, arXiv.org.

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

X. Liu, Cheng Zhou, Lei Han, 2023, AAMAS.