Publications

Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming HU, Xianyuan Zhan (2024). Are Expressive Models Truly Necessary for Offline RL?. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) (This paper is also accepted in NuerIPS 2024 Workshop on Open-World Agents (OWA)).

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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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