Chenjia Bai

118 papers A* 26A 3Misc 1Journal 86Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks.
CoRR
Honghui Wang, Zhi Jing, Jicong Ao, Shiji Song, Xuelong Li, Gao Huang, Chenjia Bai
2026 J jnl
Continuous alignment of multi-target preferences via instructed diffusion model.
Pattern Recognit.
Yingnan Zhao, Xinmiao Wang, Dan Lu, Qilong Han, Chenjia Bai
2026 J jnl
HALO:Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable Simulation.
CoRR
Xingyi Wang, Chenyun Zhang, Weiji Xie, Chao Yu, Wei Song, Chenjia Bai, Shiqiang Zhu
2026 J jnl
HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control.
CoRR
Jinrui Han, Dewei Wang, Chenyun Zhang, Xinzhe Liu, Ping Luo, Chenjia Bai, Xuelong Li
2026 J jnl
InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skills.
CoRR
Dayang Liang, Yuhang Lin, Xinzhe Liu, Jiyuan Shi, Yunlong Liu, Chenjia Bai
2026 J jnl
Learning Soccer Skills for Humanoid Robots: A Progressive Perception-Action Framework.
CoRR
Jipeng Kong, Xinzhe Liu, Yuhang Lin, Jinrui Han, Sören Schwertfeger, Chenjia Bai, Xuelong Li
2026 J jnl
PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning.
CoRR
Huanyu Li, Dewei Wang, Xinmiao Wang, Xinzhe Liu, Peng Liu, Chenjia Bai, Xuelong Li
2026 J jnl
Pro-HOI: Perceptive Root-guided Humanoid-Object Interaction.
CoRR
Yuhang Lin, Jiyuan Shi, Dewei Wang, Jipeng Kong, Yong Liu, Chenjia Bai, Xuelong Li
2026 J jnl
Temporal consistent multi-view perception for robust embodied manipulation.
Pattern Recognit.
Haoyuan Chen, Rushuai Yang, Junjie Zhang, Xiaoyu Wen, Yi Chen, Dengxiu Yu, Chenjia Bai, Zhen Wang
2026 J jnl
TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control.
CoRR
Weiji Xie, Jiakun Zheng, Jinrui Han, Jiyuan Shi, Weinan Zhang, Chenjia Bai, Xuelong Li
2026 A* conf
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
AAAI
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2026 J jnl
Unsupervised Skill Discovery Through Skill Regions Differentiation.
IEEE Trans. Neural Networks Learn. Syst.
Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Zhe Wang, Chenjia Bai
2026 J jnl
X-Loco: Towards Generalist Humanoid Locomotion Control via Synergetic Policy Distillation.
CoRR
Dewei Wang, Xinmiao Wang, Chenyun Zhang, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
2025 J jnl
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning.
CoRR
Jiyuan Shi, Xinzhe Liu, Dewei Wang, Ouyang Lu, Sören Schwertfeger, Fuchun Sun, Chenjia Bai, Xuelong Li
2025 J jnl
Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance.
CoRR
Yang Zhang, Chenwei Wang, Ouyang Lu, Yuan Zhao, Yunfei Ge, Zhenglong Sun, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li
2025 J jnl
Combining long and short spatiotemporal reasoning for deep reinforcement learning.
Neurocomputing
Huiling Liu, Peng Liu, Chenjia Bai
2025 J jnl
Cross-Domain Offline Policy Adaptation with Dynamics- and Value-Aligned Data Filtering.
CoRR
Zhongjian Qiao, Rui Yang, Jiafei Lyu, Chenjia Bai, Xiu Li, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025 J jnl
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models.
Trans. Mach. Learn. Res.
Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
2025 A* conf
Discriminator-Guided Embodied Planning for LLM Agent.
ICLR
Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li
2025 A* conf
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning.
ICLR
Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang
2025 J jnl
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning.
CoRR
Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang
2025 A* conf
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies.
AAAI
Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai
2025 A conf
Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning.
IROS
Weiji Xie, Chenjia Bai, Jiyuan Shi, Junkai Yang, Yunfei Ge, Weinan Zhang, Xuelong Li
2025 J jnl
Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning.
CoRR
Weiji Xie, Chenjia Bai, Jiyuan Shi, Junkai Yang, Yunfei Ge, Weinan Zhang, Xuelong Li
2025 J jnl
HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning.
CoRR
Zhi Jing, Siyuan Yang, Jicong Ao, Ting Xiao, Yugang Jiang, Chenjia Bai
2025 J jnl
Information-Theoretic Reward Decomposition for Generalizable RLHF.
CoRR
Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai
2025 J jnl
KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control.
CoRR
Jinrui Han, Weiji Xie, Jiakun Zheng, Jiyuan Shi, Weinan Zhang, Ting Xiao, Chenjia Bai
2025 J jnl
KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills.
CoRR
Weiji Xie, Jinrui Han, Jiakun Zheng, Huanyu Li, Xinzhe Liu, Jiyuan Shi, Weinan Zhang, Chenjia Bai, Xuelong Li
2025 J jnl
Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments.
CoRR
Xinran Li, Chenjia Bai, Zijian Li, Jiakun Zheng, Ting Xiao, Jun Zhang
2025 J jnl
MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains.
CoRR
Dewei Wang, Xinmiao Wang, Xinzhe Liu, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
2025 J jnl
On the Value of Myopic Behavior in Policy Reuse.
IEEE Trans. Pattern Anal. Mach. Intell.
Chenjia Bai, Kang Xu, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li
2025 — conf
Online Iterative Self-Alignment for Radiology Report Generation.
ACL (1)
Ting Xiao, Lei Shi, Yang Zhang, HaoFeng Yang, Zhe Wang, Chenjia Bai
2025 J jnl
Online Iterative Self-Alignment for Radiology Report Generation.
CoRR
Ting Xiao, Lei Shi, Yang Zhang, HaoFeng Yang, Zhen Wang, Chenjia Bai
2025 A* conf
Online Preference Alignment for Language Models via Count-based Exploration.
ICLR
Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li
2025 J jnl
Online Preference Alignment for Language Models via Count-based Exploration.
CoRR
Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li
2025 A conf
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control.
IROS
Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Meixin Zhu, Chenjia Bai, Weiwei Wan, Kensuke Harada, Xuelong Li
2025 J jnl
Provably efficient information-directed sampling algorithms for multi-agent reinforcement learning.
Artif. Intell.
Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li
2025 A* conf
Radiology Report Generation via Multi-objective Preference Optimization.
AAAI
Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai
2025 J jnl
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective.
CoRR
Yang Zhang, Xinran Li, Jianing Ye, Delin Qu, Shuang Qiu, Chongjie Zhang, Xiu Li, Chenjia Bai
2025 J jnl
Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning.
Neural Networks
Tong Li, Chenjia Bai, Kang Xu, Chen Chu, Peican Zhu, Zhen Wang
2025 J jnl
Skill-Nav: Enhanced Navigation with Versatile Quadrupedal Locomotion via Waypoint Interface.
CoRR
Dewei Wang, Chenjia Bai, Chenhui Li, Jiyuan Shi, Yan Ding, Chi Zhang, Bin Zhao
2025 J jnl
Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach.
CoRR
Siyuan Yang, Yang Zhang, Haoran He, Ling Pan, Xiu Li, Chenjia Bai, Xuelong Li
2025 A* conf
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner.
ICML
Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang
2025 J jnl
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
CoRR
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2025 — conf
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration.
ACL (Findings)
Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li
2025 J jnl
Towards Reliable LLM-based Robot Planning via Combined Uncertainty Estimation.
CoRR
Shiyuan Yin, Chenjia Bai, Zihao Zhang, Junwei Jin, Xinxin Zhang, Chi Zhang, Xuelong Li
2025 J jnl
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction.
CoRR
Chenyou Fan, Fangzheng Yan, Chenjia Bai, Jiepeng Wang, Chi Zhang, Zhen Wang, Xuelong Li
2025 J jnl
Unsupervised Skill Discovery through Skill Regions Differentiation.
CoRR
Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Chenjia Bai
2025 A* conf
VLP: Vision-Language Preference Learning for Embodied Manipulation.
EMNLP
Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2025 J jnl
VLP: Vision-Language Preference Learning for Embodied Manipulation.
CoRR
Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2024 Misc conf
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective.
CoRL
Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang
2024 A* conf
Constrained Ensemble Exploration for Unsupervised Skill Discovery.
ICML
Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li
2024 J jnl
Constrained Ensemble Exploration for Unsupervised Skill Discovery.
CoRR
Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li
2024 A* conf
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning.
ICML
Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang
2024 J jnl
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning.
CoRR
Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang
2024 A* conf
Cross-Domain Policy Adaptation by Capturing Representation Mismatch.
ICML
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
2024 J jnl
Cross-Domain Policy Adaptation by Capturing Representation Mismatch.
CoRR
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
2024 J jnl
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models.
CoRR
Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
2024 J jnl
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning.
CoRR
Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang
2024 J jnl
Diverse randomized value functions: A provably pessimistic approach for offline reinforcement learning.
Inf. Sci.
Xudong Yu, Chenjia Bai, Hongyi Guo, Changhong Wang, Zhen Wang
2024 J jnl
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning.
CoRR
Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang
2024 J jnl
Ensemble successor representations for task generalization in offline-to-online reinforcement learning.
Sci. China Inf. Sci.
Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang
2024 J jnl
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain.
IEEE Trans. Neural Networks Learn. Syst.
Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
2024 J jnl
False Correlation Reduction for Offline Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
2024 J jnl
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies.
CoRR
Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai
2024 A* conf
How Does Goal Relabeling Improve Sample Efficiency?
ICML
Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2024 J jnl
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning.
CoRR
Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
2024 A* conf
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training.
NeurIPS
Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
2024 J jnl
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
2024 A* conf
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning.
NeurIPS
Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024 J jnl
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning.
CoRR
Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024 A* conf
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
AAAI
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2024 J jnl
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning.
CoRR
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024 J jnl
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning.
Artif. Intell.
Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024 J jnl
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control.
CoRR
Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Zhenchao Qi, Meixin Zhu, Chenjia Bai, Xuelong Li
2024 J jnl
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning.
CoRR
Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li
2024 J jnl
Radiology Report Generation via Multi-objective Preference Optimization.
CoRR
Ting Xiao, Lei Shi, Peng Liu, Zhen Wang, Chenjia Bai
2024 A* conf
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment.
NeurIPS
Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li
2024 J jnl
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment.
CoRR
Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li
2024 A* conf
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning.
ICRA
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li
2024 A* conf
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation.
ICML
Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li
2024 J jnl
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation.
CoRR
Junjie Zhang, Chenjia Bai, Haoran He, Wenke Xia, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li
2024 A conf
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning.
ECAI
Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu
2024 J jnl
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning.
CoRR
Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu
2024 J jnl
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner.
CoRR
Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang
2024 J jnl
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration.
CoRR
Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li
2024 J jnl
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness.
J. Artif. Intell. Res.
Xiaoyu Wen, Xudong Yu, Rui Yang, Haoyuan Chen, Chenjia Bai, Zhen Wang
2023 J jnl
Addressing Hindsight Bias in Multigoal Reinforcement Learning.
IEEE Trans. Cybern.
Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
2023 A* conf
Behavior Contrastive Learning for Unsupervised Skill Discovery.
ICML
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
2023 J jnl
Behavior Contrastive Learning for Unsupervised Skill Discovery.
CoRR
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
2023 A* conf
Cross-Domain Policy Adaptation via Value-Guided Data Filtering.
NeurIPS
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
2023 J jnl
Cross-Domain Policy Adaptation via Value-Guided Data Filtering.
CoRR
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
2023 A* conf
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning.
NeurIPS
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
2023 J jnl
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning.
CoRR
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
2023 J jnl
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.
CoRR
Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2023 J jnl
On the Value of Myopic Behavior in Policy Reuse.
CoRR
Kang Xu, Chenjia Bai, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li
2023 J jnl
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization.
CoRR
Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang
2023 J jnl
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning.
CoRR
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Xiu Li, Xuelong Li
2023 J jnl
Self-Supervised Imitation for Offline Reinforcement Learning With Hindsight Relabeling.
IEEE Trans. Syst. Man Cybern. Syst.
Xudong Yu, Chenjia Bai, Changhong Wang, Dengxiu Yu, C. L. Philip Chen, Zhen Wang
2023 J jnl
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness.
CoRR
Xiaoyu Wen, Xudong Yu, Rui Yang, Chenjia Bai, Zhen Wang
2023 J jnl
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
2022 A* conf
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning.
ICML
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022 J jnl
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning.
CoRR
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022 A* conf
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.
ICLR
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022 J jnl
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.
CoRR
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022 A* conf
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.
NeurIPS
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022 J jnl
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.
CoRR
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2021 A* conf
Dynamic Bottleneck for Robust Self-Supervised Exploration.
NeurIPS
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021 J jnl
Dynamic Bottleneck for Robust Self-Supervised Exploration.
CoRR
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021 J jnl
Exploration in Deep Reinforcement Learning: A Comprehensive Survey.
CoRR
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
2021 A* conf
Principled Exploration via Optimistic Bootstrapping and Backward Induction.
ICML
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021 J jnl
Principled Exploration via Optimistic Bootstrapping and Backward Induction.
CoRR
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021 J jnl
SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning.
CoRR
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
2020 J jnl
Generating attentive goals for prioritized hindsight reinforcement learning.
Knowl. Based Syst.
Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang
2020 J jnl
Obtaining accurate estimated action values in categorical distributional reinforcement learning.
Knowl. Based Syst.
Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang
2020 J jnl
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
CoRR
Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
2020 J jnl
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
Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu
2019 J jnl
Guided goal generation for hindsight multi-goal reinforcement learning.
Neurocomputing
Chenjia Bai, Peng Liu, Wei Zhao, Xianglong Tang