Chenjia Bai

According to our database, Chenjia Bai authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

False Correlation Reduction for Offline Reinforcement Learning.

Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li

Artif. Intell., January, 2024

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning.

Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li

CoRR, 2024

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.

Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun

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

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

IEEE Trans. Syst. Man Cybern. Syst., 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

Addressing Hindsight Bias in Multigoal Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu

IEEE Trans. Cybern., 2023

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness.

Xiaoyu Wen, Xudong Yu, Rui Yang, Chenjia Bai, Zhen Wang

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

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization.

Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang

CoRR, 2023

On the Value of Myopic Behavior in Policy Reuse.

Kang Xu, Chenjia Bai, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li

CoRR, 2023

Cross-Domain Policy Adaptation via Value-Guided Data Filtering.

Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Dong Wang, Bin Zhao, Xuelong Li

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

Behavior Contrastive Learning for Unsupervised Skill Discovery.

Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li

Proceedings of the International Conference on Machine Learning, 2023

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

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning.

Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning.

Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang

CoRR, 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.

Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu

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

Obtaining accurate estimated action values in categorical distributional reinforcement learning.

Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang

Knowl. Based Syst., 2020

Generating attentive goals for prioritized hindsight reinforcement learning.

Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang

Knowl. Based Syst., 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, Peng Liu

计算机科学, 2020

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

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

CoRR, 2020

2019

Guided goal generation for hindsight multi-goal reinforcement learning.

Chenjia Bai, Peng Liu, Wei Zhao, Xianglong Tang

Neurocomputing, 2019