About Me
I am a last year Ph.D student in Institute for Interdisciplinary Information Science (IIIS) at Tsinghua University, advised by Prof. Yang Gao.
Previously, I received my bachelor degree from the School of Software at Tsinghua University, where I conducted research under the supervision of Prof. Mingsheng Long and Prof. Feng Xu.
My research goal is to develop human-level policy learning algorithms for embodied agents under visual perceptions. My current interest lies in Model-based RL, foundation models for decision-making, robot learning, etc.
News from 2024
- [Sep. 2024] Our paper Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own was accepted as Oral by CoRL 2024.
- [May. 2024] Our paper EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data was accepted as Spotlight by ICML 2024.
- [Mar. 2024] I embarked on my visiting scholar journey at Berkeley Artificial Intelligence Research (BAIR) under the expert guidance of Prof. Pieter Abbeel.
Selected Publications
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CoRL
Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao
Conference on Robot Learning (CoRL), 2024.
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ICML
Shengjie Wang*, Shaohuai Liu*, Weirui Ye*, Jiacheng You, Yang Gao (*equal contribution)
International Conference on Machine Learning (ICML), 2024.
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ICLR
Weirui Ye*, Yunsheng Zhang*, Pieter Abbeel, Yang Gao (*equal contribution)
International Conference on Learning Representations (ICLR), 2023.
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NeurIPS
Weirui Ye, Pieter Abbeel, Yang Gao
Conference on Neural Information Processing Systems(NeurIPS), 2022.
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NeurIPS
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
Conference on Neural Information Processing Systems(NeurIPS), 2021.
Professional Services
Reviewers | PC Member
Teaching Assitant
- Computer Vision, Spring 2022. Instructor: Prof. Yang Gao
Student Counselor
Selected Awards
- National Scholarship (Top 1%), 2022
- Good graduates of Tsinghua (Top 10%), 2020
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