Chenjia Bai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 50

Top Topics

Diffusion Model

Balancing Exploration And Exploitation

Reinforcement Learning

Noisy Environments

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. ICRA (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326 (2024)
Junjie Zhang, Chenjia Bai, Haoran He, Wenke Xia, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation. CoRR (2024)
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR (2024)
Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning. CoRR (2024)
Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li
Constrained Ensemble Exploration for Unsupervised Skill Discovery. CoRR (2024)
Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. CoRR (2024)
Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang
Diverse randomized value functions: A provably pessimistic approach for offline reinforcement learning. Inf. Sci. 680 (2024)
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. AAAI (2024)
Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning. CoRR (2024)
Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning. CoRR (2024)
Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR (2024)
Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment. CoRR (2024)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning. CoRR (2024)
Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. CoRR (2024)
Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. CoRR (2024)
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Xiu Li, Xuelong Li
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. CoRR (2023)
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
Behavior Contrastive Learning for Unsupervised Skill Discovery. ICML (2023)
Xudong Yu, Chenjia Bai, Changhong Wang, Dengxiu Yu, C. L. Philip Chen, Zhen Wang
Self-Supervised Imitation for Offline Reinforcement Learning With Hindsight Relabeling. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. CoRR (2023)
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
Behavior Contrastive Learning for Unsupervised Skill Discovery. CoRR (2023)
Xiaoyu Wen, Xudong Yu, Rui Yang, Chenjia Bai, Zhen Wang
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. CoRR (2023)
Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. CoRR (2023)
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
Cross-Domain Policy Adaptation via Value-Guided Data Filtering. CoRR (2023)
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. CoRR (2023)
Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. 53 (1) (2023)
Kang Xu, Chenjia Bai, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li
On the Value of Myopic Behavior in Policy Reuse. CoRR (2023)
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. NeurIPS (2023)
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
Cross-Domain Policy Adaptation via Value-Guided Data Filtering. NeurIPS (2023)
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS (2022)
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML (2022)
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR (2022)
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR (2021)
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR (2021)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS (2021)
Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang
Generating attentive goals for prioritized hindsight reinforcement learning. Knowl. Based Syst. 203 (2020)
Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang
Obtaining accurate estimated action values in categorical distributional reinforcement learning. Knowl. Based Syst. 194 (2020)
Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR (2020)
Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu
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). 计算机科学 47 (3) (2020)
Chenjia Bai, Peng Liu, Wei Zhao, Xianglong Tang
Guided goal generation for hindsight multi-goal reinforcement learning. Neurocomputing 359 (2019)