Welcome to AIR-DREAM (Decision-making Research for Empowered AI Methods) Lab Our research focus is to develop advanced learning-based data-driven decision-making theories and practical technologies that are robust, generalizable, and deployable to tackle real-world challenges. We work on fundamental learning algorithms, robust robotic control methods, optimization technologies for real-world AIoT systems, and data-driven decision-making tools & libraries.

AIR-DREAM Lab is a research group at Institute for AI Industry Research (AIR), Tsinghua University.

News

Jan. 2026: Our four recent papers “X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model”, “Dichotomous Diffusion Policy Optimization”, “Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching”, and “Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving” have been accepted in ICLR 2026!
Oct. 2025: Our X-VLA has won First Place in the AGIBOT World Challenge (Manipulation track) @ IROS 2025!
Oct. 2025: We have released “X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model”! A lightweight yet scalable cross-embodiment VLA model that achieve SOTA performance over all mainstream embodied AI benchmarks! Project page available at https://thu-air-dream.github.io/X-VLA/.
Sep. 2025: Our three recent papers “Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling”, “Towards Robust Zero-Shot Reinforcement Learning”, and “Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization” have been accepted in NeurIPS 2025!
May. 2025: Our recent paper “Efficient Robotic Policy Learning via Latent Space Backward Planning” has been accepted in ICML 2025!
Feb. 2025: Our recent paper “Universal Actions for Enhanced Embodied Foundation Models” has been accepted in CVPR 2025! It enables learning universal actions to power any robotic embodiment, physical meaning, and control interfaces! Project page available at https://2toinf.github.io/UniAct/.
Jan. 2025: Our two recent papers “Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning” and “H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps” have been accepted in ICRA 2025!
Jan. 2025: Our three recent papers “Data Center Cooling System Optimization Using Offline Reinforcement Learning”, “Diffusion-Based Planning for Autonomous Driving with Flexible Guidance”, and “Skill Expansion and Composition in Parameter Space” have been accepted in ICLR 2025!

🔥 We are hiring: Our team is looking for student interns/postdocs at AIR! If you are interested in the research directions of real-world RL/IL, AI alignment/AI safety, embodied AI, and decision-making in autonomous driving, please feel free to contact us!

Researches

Data-Driven Decision-Making Algorithms

Developing high-performance, robust, generalizable, and deployable data-driven decision-making algorithms for real-world problems.

Learning-based Methods for Robotics & Autonomous Driving

Learning robust and generalizable control / decision-making policies for robotics and autonomous driving using real-world data.

Data-Driven Methods for Sustainable Industrial and AIoT Systems

Using advanced data-driven AI methods to optimize real-world complex industrial and AIoT systems.

Tools & Libraries

Tools & software libraries for data-driven decision-making problems.

Recent Publications

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Ruiming Liang, Yinan Zheng, Kexin ZHENG, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan (2026). Dichotomous Diffusion Policy Optimization. In the 14th International Conference on Learning Representations (ICLR 2026).

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Pengxiang Li, Yinan Zheng, Yue Wang, HuiminWang, Hang Zhao, Jingjing Liu, Xianyuan Zhan, Kun Zhan, XianPeng Lang (2026). Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving. In the 14th International Conference on Learning Representations (ICLR 2026).

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Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Yunxin Liu, Xianyuan Zhan (2026). Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching. In the 14th International Conference on Learning Representations (ICLR 2026).

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Jinliang Zheng, Jianxiong Li, Zhihao Wang, Dongxiu Liu, Xirui Kang, Yuchun Feng, Yinan Zheng, Jiayin Zou, Yilun Chen, Jia Zeng, Ya-Qin Zhang, Jiangmiao Pang, Jingjing Liu, Tai Wang, Xianyuan Zhan (2026). X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model. In the 14th International Conference on Learning Representations (ICLR 2026).

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Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi Zhang, Jianming HU, Xianyuan Zhan (2026). xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2026).

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Tianyi Tan, Yinan Zheng, Ruiming Liang, Zexu Wang, Kexin ZHENG, Jinliang Zheng, Jianxiong Li, Xianyuan Zhan, Jingjing Liu (2025). Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling. In the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025).

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Meet the Team

Research team members

Xianyuan Zhan

Faculty Member

Xiangyu Zhu

Research Staff

Jianxiong Li

PhD Candidate

Jinliang Zheng

PhD Candidate

Yinan Zheng

PhD Candidate

Dongxiu Liu

Research Intern

Kexin ZHENG

Research Intern

Peng Cheng

Research Intern

Ruiming Liang

Research Intern

Tianyi Tan

Research Intern

Yunxian Hou

Research Intern

Zhi Zhou

Research Intern

Zhihao Wang

Research Intern

Alumni

Haoran Xu

PhD student at UT Austin, USA

Haoyi Niu

PhD student at UC Berkeley, USA

Huiling Qin

Faculty at Beijing Normal University, Zhuhai

Li Jiang

PhD student at McGill University

Liyuan Mao

PhD student at Shanghai Jiao Tong University

Tianying Ji

PhD student at Tsinghua University

Weiye Xi

PhD student at Columbia Business School, USA

Wenjia Zhang

PhD student at Tsinghua University

Xiangsen Wang

AI Algorithm engineer at Baidu

Xiao Hu

PhD student at Tsinghua University

Yiwen Qiu

Master student at Carnegie Mellon University, USA

Yong Wang

Postdoc at Hong Kong University

Yu Luo

Research Scientist at Huawei

Ziteng He

PhD student at Tsinghua University

Gallery

Contact

zhanxianyuan@air.tsinghua.edu.cn
12 / F, block C, Qidi science and technology building, Tsinghua Science and Technology Park, Haidian District, Beijing, 100000
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