Publications

Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan (2024). Instruction-Guided Visual Masking. In the Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS 2024) (Outstanding paper award of ICML 2024 MFM-EAI Workshop).

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Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang (2024). Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. In the Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS 2024).

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Hanfei Geng, Yi Sun, Yuanzhe Li, Jichao Leng, Xiangyu Zhu, Xianyuan Zhan, Yuanchun Li, Feng Zhao, Yunxin Liu (2024). TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers. 53rd International Conference on Parallel Processing (ICPP 2024).

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Yu Luo, Fuchun Sun, Tianying Ji, Xianyuan Zhan (2024). Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies. 1st Reinforcement Learning Conference (RLC 2024).

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Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan (2024). OMPO: A Unified Framework for RL under Policy and Dynamics Shifts. Forty-first International Conference on Machine Learning (ICML 2024) (oral).

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Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan (2024). Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. Forty-first International Conference on Machine Learning (ICML 2024).

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Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Others (2024). DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. Forty-first International Conference on Machine Learning (ICML 2024).

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Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu (2024). Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. In the 41st International Conference on Machine Learning (ICML 2024).

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Haoyi Niu, Jianming Hu, Guyue Zhou, Xianyuan Zhan (2024). A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents. 33st International Joint Conference on Artificial Intelligence (IJCAI 2024).

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Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu (2024). Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model. In 12th International Conference on Learning Representations (ICLR 2024).

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Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan (2024). Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. In 12th International Conference on Learning Representations (ICLR 2024)(spotlight).

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Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang (2024). Query-Policy Misalignment in Preference-Based Reinforcement Learning. In 12th International Conference on Learning Representations (ICLR 2024)(spotlight).

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Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu (2024). OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. 12th International Conference on Learning Representations (ICLR 2024).

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Huiling Qin, Xianyuan Zhan, Yuanxun Li, Yu Zheng (2023). FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning.

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Jianxiong Li, Shichao Lin, Tianyu Shi, Chujie Tian, Yu Mei, Jian Song, Xianyuan Zhan, Ruimin Li (2023). A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning.

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Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan (2023). Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization. Advances in Neural Information Processing Systems.

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Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang (2023). Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. Advances in Neural Information Processing Systems.

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Haoyi Niu, Tianying Ji, Bingqi Liu, Haocheng Zhao, Xiangyu Zhu, Jianying Zheng, Pengfei Huang, Guyue Zhou, Jianming Hu, Xianyuan Zhan (2023). H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps.

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Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Ya-Qin Zhang (2023). PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning.

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Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang (2023). When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning. International Conference on Learning Representations.

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Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Victor Wai Kin Chan, Xianyuan Zhan (2023). Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. International Conference on Learning Representations.

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Li Jiang, Xiangsen Wang, Aidong Yang, Xidong Wang, Xiaojia Jin, Wei Wang, Xiaozhou Ye, Ye Ouyang, Xianyuan Zhan (2023). An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming. IEEE International Conference on Communications (ICC).

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Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang (2023). Mind the Gap: Offline Policy Optimization for Imperfect Rewards. International Conference on Learning Representations.

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Xiangsen Wang, Xianyuan Zhan (2023). Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization. International Conference on Autonomous Agents and Multiagent Systems 2023 (AAMAS 2023).

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Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan (2022). When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning. Advances in Neural Information Processing Systems.

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Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan (2022). A Policy-Guided Imitation Approach for Offline Reinforcement Learning. Advances in Neural Information Processing Systems.

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Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan (2022). Discriminator-Guided Model-Based Offline Imitation Learning. Conference on Robot Learning (CoRL 2022).

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Haoran Xu, Xianyuan Zhan, Honglei Yin, Huiling Qin (2022). Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations. International Conference on Machine Learning (ICML 2022).

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Xianyuan Zhan, Xiangyu Zhu, Haoran Xu (2022). Model-Based Offline Planning with Trajectory Pruning. International Joint Conference on Artificial Intelligence.

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Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng (2021). DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2022).

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Haoran Xu, Xianyuan Zhan, Xiangyu Zhu (2021). Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2022).

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