Guided goal generation for hindsight multi-goal reinforcement learning. - Chenjia Bai; Peng Liu 008; Wei Zhao 008; Xianglong Tang (Neurocomputing, 2019)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Zhaoran Wang 001; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002 (CoRR, 2020)

深度强化学习中稀疏奖励问题研究综述 (Survey on Sparse Reward in Deep Reinforcement Learning). - Weiyi Ang; Chenjia Bai; Chao Cai; Yingnan Zhao 002; Peng Liu 008 (计算机科学, 2020)

Generating attentive goals for prioritized hindsight reinforcement learning. - Peng Liu 008; Chenjia Bai; Yingnan Zhao 002; Chenyao Bai; Wei Zhao 008; Xianglong Tang (Knowl. Based Syst., 2020)

Obtaining accurate estimated action values in categorical distributional reinforcement learning. - Yingnan Zhao 002; Peng Liu 008; Chenjia Bai; Wei Zhao 008; Xianglong Tang (Knowl. Based Syst., 2020)

Principled Exploration via Optimistic Bootstrapping and Backward Induction. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Jianye Hao; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICML, 2021)

Dynamic Bottleneck for Robust Self-Supervised Exploration. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Animesh Garg; Jianye Hao; Peng Liu 008; Zhaoran Wang 001 (NeurIPS, 2021)

Exploration in Deep Reinforcement Learning: A Comprehensive Survey. - Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Jianye Hao; Zhaopeng Meng; Peng Liu 008 (CoRR, 2021)

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Zhaoran Wang 001; Jing Jiang 002 (CoRR, 2021)

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Zhuoran Yang; Zhi-Hong Deng 002; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICLR, 2022)

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. - Shuang Qiu; Lingxiao Wang 003; Chenjia Bai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. - Rui Yang 010; Chenjia Bai; Xiaoteng Ma; Zhaoran Wang 001; Chongjie Zhang; Lei Han 001 (NeurIPS, 2022)

Behavior Contrastive Learning for Unsupervised Skill Discovery. - Rushuai Yang; Chenjia Bai; Hongyi Guo; Siyuan Li 003; Bin Zhao 001; Zhen Wang 004; Peng Liu 008; Xuelong Li 001 (ICML, 2023)

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. - Haoran He; Chenjia Bai; Kang Xu; Zhuoran Yang; Weinan Zhang 001; Dong Wang 028; Bin Zhao 001; Xuelong Li 001 (NeurIPS, 2023)

Cross-Domain Policy Adaptation via Value-Guided Data Filtering. - Kang Xu; Chenjia Bai; Xiaoteng Ma; Dong Wang 028; Bin Zhao 001; Zhen Wang 004; Xuelong Li 001; Wei Li 235 (NeurIPS, 2023)

On the Value of Myopic Behavior in Policy Reuse. - Kang Xu; Chenjia Bai; Shuang Qiu; Haoran He; Bin Zhao 001; Zhen Wang 004; Wei Li 235; Xuelong Li 001 (CoRR, 2023)

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. - Haoran He; Chenjia Bai; Hang Lai; Lingxiao Wang 003; Weinan Zhang 001 (CoRR, 2023)

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. - Jiyuan Shi; Chenjia Bai; Haoran He; Lei Han 001; Dong Wang 028; Bin Zhao 001; Xiu Li 001; Xuelong Li 001 (CoRR, 2023)

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. - Xiaoyu Wen; Xudong Yu; Rui Yang 010; Chenjia Bai; Zhen Wang 004 (CoRR, 2023)

Addressing Hindsight Bias in Multigoal Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Yixin Wang 002; Zhaoran Wang 001; Rui Zhao; Chenyao Bai; Peng Liu 008 (IEEE Trans. Cybern., 2023)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002; Lei Han 001; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-Supervised Imitation for Offline Reinforcement Learning With Hindsight Relabeling. - Xudong Yu; Chenjia Bai; Changhong Wang; Dengxiu Yu; C. L. Philip Chen; Zhen Wang 004 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. - Jinyi Liu 002; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chenjia Bai; Junjie Ye; Zhen Wang 004; Haiyin Piao; Yang Sun (AAAI, 2024)

Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. - Haoran He; Peilin Wu; Chenjia Bai; Hang Lai; Lingxiao Wang 003; Ling Pan; Xiaolin Hu; Weinan Zhang 001 (CoRL, 2024)

SelfBC: Self Behavior Cloning for Offline Reinforcement Learning. - Shirong Liu; Chenjia Bai; Zixian Guo; Hao Zhang 128; Gaurav Sharma 001; Yang Liu 006 (ECAI, 2024)

Constrained Ensemble Exploration for Unsupervised Skill Discovery. - Chenjia Bai; Rushuai Yang; Qiaosheng Zhang; Kang Xu; Yi Chen; Ting Xiao; Xuelong Li 001 (ICML, 2024)

Cross-Domain Policy Adaptation by Capturing Representation Mismatch. - Jiafei Lyu; Chenjia Bai; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICML, 2024)

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning. - Xiaoyu Wen; Chenjia Bai; Kang Xu; Xudong Yu; Yang Zhang; Xuelong Li 001; Zhen Wang 004 (ICML, 2024)

SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation. - Junjie Zhang; Chenjia Bai; Haoran He; Zhigang Wang 002; Bin Zhao 001; Xiu Li 001; Xuelong Li 001 (ICML, 2024)

How Does Goal Relabeling Improve Sample Efficiency? - Sirui Zheng; Chenjia Bai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2024)

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. - Jiyuan Shi; Chenjia Bai; Haoran He; Lei Han 001; Dong Wang 008; Bin Zhao 001; Mingguo Zhao; Xiu Li 001; Xuelong Li 001 (ICRA, 2024)

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training. - Haoran He; Chenjia Bai; Ling Pan; Weinan Zhang 001; Bin Zhao 001; Xuelong Li 001 (NeurIPS, 2024)

ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. - Jiafei Lyu; Kang Xu; Jiacheng Xu 003; Mengbei Yan; Jingwen Yang; Zongzhang Zhang; Chenjia Bai; Zongqing Lu 002; Xiu Li 001 (NeurIPS, 2024)

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment. - Xudong Yu; Chenjia Bai; Haoran He; Changhong Wang; Xuelong Li 001 (NeurIPS, 2024)

Ensemble successor representations for task generalization in offline-to-online reinforcement learning. - Changhong Wang; Xudong Yu; Chenjia Bai; Qiaosheng Zhang; Zhen Wang 004 (Sci. China Inf. Sci., 2024)

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. - Haoran He; Chenjia Bai; Ling Pan; Weinan Zhang 001; Bin Zhao 001; Xuelong Li 001 (CoRR, 2024)

SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation. - Junjie Zhang; Chenjia Bai; Haoran He; Wenke Xia; Zhigang Wang 002; Bin Zhao 001; Xiu Li 001; Xuelong Li 001 (CoRR, 2024)

Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner. - Chenyou Fan; Chenjia Bai; Zhao Shan; Haoran He; Yang Zhang; Zhen Wang 004 (CoRR, 2024)

Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control. - Xinyi Yuan; Zhiwei Shang; Zifan Wang; Chenkai Wang; Zhao Shan; Zhenchao Qi; Meixin Zhu; Chenjia Bai; Xuelong Li 001 (CoRR, 2024)

Radiology Report Generation via Multi-objective Preference Optimization. - Ting Xiao; Lei Shi 004; Peng Liu 008; Zhen Wang 004; Chenjia Bai (CoRR, 2024)

Diverse randomized value functions: A provably pessimistic approach for offline reinforcement learning. - Xudong Yu; Chenjia Bai; Hongyi Guo; Changhong Wang; Zhen Wang 004 (Inf. Sci., 2024)

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. - Xiaoyu Wen; Xudong Yu; Rui Yang 010; Haoyuan Chen; Chenjia Bai; Zhen Wang 004 (J. Artif. Intell. Res., 2024)

Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Jianye Hao; Zhuoran Yang; Bin Zhao 001; Zhen Wang 004; Xuelong Li 001 (Artif. Intell., 2024)

False Correlation Reduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Tianyi Zhou 001; Zhaoran Wang 001; Jing Jiang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. - Chenjia Bai; Ting Xiao; Zhoufan Zhu; Lingxiao Wang 003; Fan Zhou; Animesh Garg; Bin He 003; Peng Liu 008; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. - Jianye Hao; Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Zhaopeng Meng; Peng Liu 008; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies. - Zhao Shan; Chenyou Fan; Shuang Qiu; Jiyuan Shi; Chenjia Bai (AAAI, 2025)

Radiology Report Generation via Multi-objective Preference Optimization. - Ting Xiao; Lei Shi 004; Peng Liu 008; Zhe Wang 008; Chenjia Bai (AAAI, 2025)

Online Iterative Self-Alignment for Radiology Report Generation. - Ting Xiao; Lei Shi 004; Yang Zhang; HaoFeng Yang; Zhe Wang 008; Chenjia Bai (ACL (1), 2025)

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. - Yang Zhang; Shixin Yang; Chenjia Bai; Fei Wu 001; Xiu Li 001; Zhen Wang 004; Xuelong Li 001 (ACL (Findings), 2025)

Online Preference Alignment for Language Models via Count-based Exploration. - Chenjia Bai; Yang Zhang; Shuang Qiu; Qiaosheng Zhang; Kang Xu; Xuelong Li 001 (ICLR, 2025)

Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning. - Xinran Li; Xiaolu Wang; Chenjia Bai; Jun Zhang 004 (ICLR, 2025)

Discriminator-Guided Embodied Planning for LLM Agent. - Haofu Qian; Chenjia Bai; Jiatao Zhang; Fei Wu 001; Wei Song 008; Xuelong Li 001 (ICLR, 2025)

Provably efficient information-directed sampling algorithms for multi-agent reinforcement learning. - Qiaosheng Zhang; Chenjia Bai; Shuyue Hu; Zhen Wang 004; Xuelong Li 001 (Artif. Intell., 2025)

Combining long and short spatiotemporal reasoning for deep reinforcement learning. - Huiling Liu; Peng Liu 008; Chenjia Bai (Neurocomputing, 2025)

Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning. - Tong Li; Chenjia Bai; Kang Xu; Chen Chu; Peican Zhu; Zhen Wang 004 (Neural Networks, 2025)

Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. - Yang Zhang; Chenjia Bai; Bin Zhao 001; Junchi Yan; Xiu Li 001; Xuelong Li 001 (Trans. Mach. Learn. Res., 2025)

VLP: Vision-Language Preference Learning for Embodied Manipulation. - Runze Liu 002; Chenjia Bai; Jiafei Lyu; Shengjie Sun; Yali Du 001; Xiu Li 001 (CoRR, 2025)

Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning. - Weiji Xie; Chenjia Bai; Jiyuan Shi; Junkai Yang; Yunfei Ge; Weinan Zhang 001; Xuelong Li 001 (CoRR, 2025)

Information-Theoretic Reward Decomposition for Generalizable RLHF. - Liyuan Mao; Haoran Xu 003; Amy Zhang 001; Weinan Zhang 001; Chenjia Bai (CoRR, 2025)

Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning. - Jiyuan Shi; Xinzhe Liu; Dewei Wang; Ouyang Lu; Sören Schwertfeger; Fuchun Sun; Chenjia Bai; Xuelong Li 001 (CoRR, 2025)

Online Iterative Self-Alignment for Radiology Report Generation. - Ting Xiao; Lei Shi 004; Yang Zhang; HaoFeng Yang; Zhen Wang 004; Chenjia Bai (CoRR, 2025)

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective. - Yang Zhang; Xinran Li; Jianing Ye; Delin Qu; Shuang Qiu; Chongjie Zhang; Xiu Li 001; Chenjia Bai (CoRR, 2025)

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction. - Chenyou Fan; Fangzheng Yan; Chenjia Bai; Jiepeng Wang 005; Chi Zhang 012; Zhen Wang 004; Xuelong Li 001 (CoRR, 2025)

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments. - Xinran Li; Chenjia Bai; Zijian Li 023; Jiakun Zheng; Ting Xiao; Jun Zhang 004 (CoRR, 2025)

MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains. - Dewei Wang; Xinmiao Wang; Xinzhe Liu; Jiyuan Shi; Yingnan Zhao 002; Chenjia Bai; Xuelong Li 001 (CoRR, 2025)

KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills. - Weiji Xie; Jinrui Han; Jiakun Zheng; Huanyu Li 014; Xinzhe Liu; Jiyuan Shi; Weinan Zhang 001; Chenjia Bai; Xuelong Li 001 (CoRR, 2025)

Unsupervised Skill Discovery through Skill Regions Differentiation. - Ting Xiao; Jiakun Zheng; Rushuai Yang; Kang Xu; Qiaosheng Zhang; Peng Liu 008; Chenjia Bai (CoRR, 2025)

Skill-Nav: Enhanced Navigation with Versatile Quadrupedal Locomotion via Waypoint Interface. - Dewei Wang; Chenjia Bai; Chenhui Li; Jiyuan Shi; Yan Ding; Chi Zhang 012; Bin Zhao 001 (CoRR, 2025)

HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning. - Zhi Jing 004; Siyuan Yang; Jicong Ao; Ting Xiao; Yugang Jiang; Chenjia Bai (CoRR, 2025)

On the Value of Myopic Behavior in Policy Reuse. - Chenjia Bai; Kang Xu; Shuang Qiu; Haoran He; Bin Zhao 001; Zhen Wang 004; Wei Li 055; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Temporal consistent multi-view perception for robust embodied manipulation. - Haoyuan Chen; Rushuai Yang; Junjie Zhang; Xiaoyu Wen; Yi Chen; Dengxiu Yu; Chenjia Bai; Zhen Wang 004 (Pattern Recognit., 2026)