About Me
I am currently an Associate Professor in the School of Computer Science and Technology at Harbin Institue of Technology and a member in the Pattern Recognition and Intelligent System Research Center.
Previously, I obtained my Ph.D. in computer science under the supervision of Prof. Chongjie Zhang (张崇洁) from the
Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. My research interests include
Openings
Our lab has active openings for Master, PhD, and Postdoc positions. Interested applicants please contact me through email with your CV, representative papers, and transcripts.
Publications
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Robust Visual Imitation Learning with Inverse Dynamics Representations.
Siyuan Li*, Xun Wang*, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma
AAAI 2024: The Thirty-Eighth AAAI Conference on Artificial Intelligence
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IOB: integrating optimization transfer and behavior transfer for multi‑policy reuse.
Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
JAAMAS 2024: Autonomous Agents and Multi-Agent Systems
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Learning to Solve Tasks with Exploring Prior Behaviours.
Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Celiktutan
IROS 2023: The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
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Classifying Ambiguous Identities in Stochastic Games with Multi-Agent Reinforcement Learning.
Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu
JAAMAS 2023: Autonomous Agents and Multi-Agent Systems
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Behavior Contrastive Learning for Unsupervised Skill Discovery.
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
ICML 2023: International Conference on Machine Learning
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Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery.
Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
AAAI 2023: The Thirty-Seventh AAAI Conference on Artificial Intelligence
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CUP: Critic-Guided Policy Reuse.
Jin Zhang, Siyuan Li, Chongjie Zhang
NeurIPS 2022 (Spotlight): Advances in Neural Information Processing Systems
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MetaTrader: A Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization.
Hui Niu*, Siyuan Li*, Jian Li
CIKM 2022: The 31st ACM International Conference on Information and Knowledge Management
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Active Hierarchical Exploration with Stable Subgoal Representation Learning.
Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang
ICLR 2022: The Tenth International Conference on Learning Representations
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Offline Reinforcement Learning with Reverse Model-based Imagination.
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
NeurIPS 2021: Advances in Neural Information Processing Systems
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Learning Subgoal Representations with Slow Dynamics.
Siyuan Li*, Lulu Zheng*, Jianhao Wang, Chongjie Zhang
ICLR 2021: The Ninth International Conference on Learning Representations
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Deep Reinforcement Learning with Hierarchical Structures.
Siyuan Li
IJCAI DC 2021: The Thirtieth International Joint Conference on Artificial Intelligence Doctoral Consortium
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Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards.
Siyuan Li*, Rui Wang*, Minxue Tang, Chongjie Zhang
NeurIPS 2019: Advances in Neural Information Processing Systems
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Context-Aware Policy Reuse.
Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang
AAMAS 2019 (Oral): International Conference on Autonomous Agents and MultiAgent Systems
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An Optimal Online Method of Selecting Source Policies for Reinforcement Learning.
Siyuan Li, Chongjie Zhang
AAAI 2018 (Spotlight): The Thirty-Second AAAI Conference on Artificial Intelligence
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Experience and Services
- Conference Reviewer/Program Committee: NeurIPS (2022), ICML (2020, 2021), IJCAI (2020)
- Journal Reviewer: IEEE Transactions on Systems, Man and Cybernetics, 自动化学报
- Teaching Assistant Deep Reinforcement Learning (Graduate Course), Spring, 2019
Artificial Intelligence: Principles and Techniques (Undergraduate Course), Fall, 2017
Selected Awards
- Huawei Academic Excellence Award by Tsinghua University, 2020.
- Best Project Award by Google Machine Learning Winter Camp, 2020.
- National Scholarship (top 1%) for Graduate Students at Tsinghua University, 2019.
- Tsinghua Scholarship for Overseas Graduate Study, 2019.
- Baidu Future Star Excellent Award by Tsinghua University, 2018
Education
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Ph.D. in Computer Science
IIIS, Tsinghua University @ Beijing, China, 2017 -- 2022
Deep Reinforcement Learning -
B.Sc. in Telecommunication Engineering
Beijing University of Post and Telecommunications @ Beijing, China, 2013 -- 2017
Ranking: 6/608