Chenjia Bai

Venues

Frequent coauthors

Papers

1. Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning
   AAAI 2026 ·

   Yingnan Zhao

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2. Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
   NeurIPS 2025 ·

   Jiyuan Shi

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3. Discriminator-Guided Embodied Planning for LLM Agent
   ICLR 2025 ·

   Haofu Qian

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4. Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
   ICLR 2025 ·

   Xinran Li

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5. Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
   AAAI 2025 ·

   Zhao Shan

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6. Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning
   IROS 2025 ·

   Weiji Xie

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7. HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
   NeurIPS 2025 ·

   Zhi Jing

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8. Information-Theoretic Reward Decomposition for Generalizable RLHF
   NeurIPS 2025 ·

   Liyuan Mao

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9. KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills
   NeurIPS 2025 ·

   Weiji Xie

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10. Online Iterative Self-Alignment for Radiology Report Generation
    ACL 2025 ·

    Ting Xiao

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11. Online Preference Alignment for Language Models via Count-based Exploration
    ICLR 2025 · Chenjia Bai
12. Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control
    IROS 2025 ·

    Xinyi Yuan

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13. Radiology Report Generation via Multi-objective Preference Optimization
    AAAI 2025 ·

    Ting Xiao

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14. Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective
    NeurIPS 2025 ·

    Yang Zhang

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15. Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
    ICML 2025 ·

    Chenyou Fan

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16. Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
    ACL 2025 ·

    Yang Zhang

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17. Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation
    NeurIPS 2025 ·

    Shiyuan Yin

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18. VLP: Vision-Language Preference Learning for Embodied Manipulation
    EMNLP 2025 ·

    Runze Liu

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19. Constrained Ensemble Exploration for Unsupervised Skill Discovery
    ICML 2024 · Chenjia Bai
20. Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
    ICML 2024 ·

    Xiaoyu Wen

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21. Cross-Domain Policy Adaptation by Capturing Representation Mismatch
    ICML 2024 ·

    Jiafei Lyu

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22. How Does Goal Relabeling Improve Sample Efficiency?
    ICML 2024 ·

    Sirui Zheng

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23. Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
    NeurIPS 2024 ·

    Haoran He

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24. ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
    NeurIPS 2024 ·

    Jiafei Lyu

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25. OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
    AAAI 2024 ·

    Jinyi Liu

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26. Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
    NeurIPS 2024 ·

    Xudong Yu

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27. Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
    ICRA 2024 ·

    Jiyuan Shi

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28. SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
    ICML 2024 ·

    Junjie Zhang

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29. SelfBC: Self Behavior Cloning for Offline Reinforcement Learning
    ECAI 2024 ·

    Shirong Liu

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