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Chenjia Bai
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2020 – today
- 2025
- [j14]Tong Li, Chenjia Bai
, Kang Xu
Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning. Neural Networks 181: 106852 (2025) - 2024
- [j13]Chenjia Bai
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326: 104048 (2024) - [j12]Xudong Yu
Diverse randomized value functions: A provably pessimistic approach for offline reinforcement learning. Inf. Sci. 680: 121146 (2024) - [j11]Xiaoyu Wen, Xudong Yu, Rui Yang, Haoyuan Chen, Chenjia Bai, Zhen Wang:
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. J. Artif. Intell. Res. 81: 481-509 (2024) - [j10]Zhihong Deng
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1199-1211 (2024) - [j9]Jianye Hao
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8762-8782 (2024) - [j8]Chenjia Bai
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8954-8968 (2024) - [c16]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: 13954-13962 - [c15]Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu:
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning. ECAI 2024: 2306-2313 - [c14]Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li:
Constrained Ensemble Exploration for Unsupervised Skill Discovery. ICML 2024 - [c13]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. ICML 2024 - [c12]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. ICML 2024 - [c11]Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li:
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation. ICML 2024 - [c10]Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang:
How Does Goal Relabeling Improve Sample Efficiency? ICML 2024 - [c9]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: 11459-11466 - [i33]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 abs/2402.14407 (2024) - [i32]Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li:
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment. CoRR abs/2404.04920 (2024) - [i31]Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang:
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning. CoRR abs/2404.06188 (2024) - [i30]Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li:
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning. CoRR abs/2404.19292 (2024) - [i29]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 abs/2404.19346 (2024) - [i28]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 abs/2405.06192 (2024) - [i27]Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang:
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning. CoRR abs/2405.07223 (2024) - [i26]Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li:
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. CoRR abs/2405.14314 (2024) - [i25]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR abs/2405.15369 (2024) - [i24]Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li:
Constrained Ensemble Exploration for Unsupervised Skill Discovery. CoRR abs/2405.16030 (2024) - [i23]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 abs/2405.19586 (2024) - [i22]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 abs/2406.15836 (2024) - [i21]Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu:
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning. CoRR abs/2408.02165 (2024) - [i20]Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai:
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies. CoRR abs/2409.05622 (2024) - [i19]Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang:
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner. CoRR abs/2409.19949 (2024) - [i18]Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Zhenchao Qi, Meixin Zhu, Chenjia Bai, Xuelong Li:
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control. CoRR abs/2410.13586 (2024) - [i17]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR abs/2410.20750 (2024) - 2023
- [j7]Chenjia Bai
Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. 53(1): 392-405 (2023) - [j6]Chenjia Bai
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4776-4790 (2023) - [j5]Xudong Yu
Self-Supervised Imitation for Offline Reinforcement Learning With Hindsight Relabeling. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7732-7743 (2023) - [c8]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: 39183-39204 - [c7]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 - [c6]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 - [i16]Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li:
Behavior Contrastive Learning for Unsupervised Skill Discovery. CoRR abs/2305.04477 (2023) - [i15]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 abs/2305.17623 (2023) - [i14]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 abs/2305.17625 (2023) - [i13]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 abs/2305.18459 (2023) - [i12]Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang:
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. CoRR abs/2305.18464 (2023) - [i11]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 abs/2308.09405 (2023) - [i10]Xiaoyu Wen, Xudong Yu, Rui Yang, Chenjia Bai, Zhen Wang:
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness. CoRR abs/2309.16973 (2023) - [i9]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 abs/2312.12145 (2023) - 2022
- [c5]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 - [c4]Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang:
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML 2022: 18168-18210 - [c3]Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han:
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS 2022 - [i8]Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang:
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR abs/2202.11566 (2022) - [i7]Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han:
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR abs/2206.02829 (2022) - [i6]Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang:
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR abs/2207.14800 (2022) - 2021
- [c2]Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML 2021: 577-587 - [c1]Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS 2021: 17007-17020 - [i5]Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR abs/2105.06022 (2021) - [i4]Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu:
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR abs/2109.06668 (2021) - [i3]Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR abs/2110.10735 (2021) - [i2]Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang:
SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR abs/2110.12468 (2021) - 2020
- [j4]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): 182-191 (2020) - [j3]Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang:
Obtaining accurate estimated action values in categorical distributional reinforcement learning. Knowl. Based Syst. 194: 105511 (2020) - [j2]Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang:
Generating attentive goals for prioritized hindsight reinforcement learning. Knowl. Based Syst. 203: 106140 (2020) - [i1]Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao:
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR abs/2010.08755 (2020)
2010 – 2019
- 2019
- [j1]Chenjia Bai
Guided goal generation for hindsight multi-goal reinforcement learning. Neurocomputing 359: 353-367 (2019)
Coauthor Index
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