Rushuai Yang
I'm a Ph.D. student at the Hong Kong University of Science and Technology
(2023–present). Previously, I received my bachelor's degree in Computer
Science from Harbin Institute of Technology (2019–2023). When supervision
alone is insufficient, I study how to reliably enable physical agents to
learn through their own experience.
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Research Highlights
Selected work by research theme, from skill discovery to real-robot
post-training.
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R. Yang, C. Bai, H. Guo, S. Li, B. Zhao, Z. Wang, P. Liu, X. Li
International Conference on Machine Learning (ICML), 2023
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C. Bai, R. Yang, Q. Zhang, K. Xu, Y. Chen, T. Xiao, X. Li
International Conference on Machine Learning (ICML), 2024
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R. Yang, H. Wei, R. Zhang, Z. Feng, X. Chen, T. Li, C. Zhang, L. Zhao, J. Bian, et al.
arXiv preprint, 2025
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R. Yang, Z. Feng, T. Zhang, K. Wang, C. Zhang, L. Zhao, X. Su, Y. Chen, et al.
arXiv preprint, 2025
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R. Yang, H. Wang, C. Liu, X. Yan, Y. Wang, X. Du, S. Yue, Y. Liu, C. Zhang, et al.
arXiv preprint, 2026
Research Interests
- Reinforcement learning for embodied intelligence and robot learning
- Vision-language-action models and scalable embodied pretraining
- Post-training, evaluation, and decision-making for foundation models
- Real-world robotic systems, deployment constraints, and data generation