李斯源
副教授/硕士生导师
研究方向
联系方式
电子邮箱：siyuanli@hit.edu.cn
个人简介
李斯源，博士，副教授，硕导，就职于哈尔滨工业大学计算学部模式识别与智能系统研究中心。主要研究方向为具身智能、深度强化学习、多智能体系统等。在CCF A/B类会议和期刊上发表20余篇高水平学术论文，授权发明专利3项。获得2023年度CCF多智能体学组优秀博士生论文奖。担任中国指挥与控制学会空间信息通信技术专委会执行委员，多次担任NeurIPS, ICML, IJCAI等CCF A类会议审稿人，作为负责人承担国家自然科学基金青年基金。
英文主页：https://siyuanlee.github.io/
教育经历
2017.09-2022.06 清华大学，交叉信息研究院，计算机科学与技术专业，工学博士学位
2013.09-2017.06 北京邮电大学，信息与通信工程学院，通信工程专业，工学学士学位
论文发表
[1] Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu and Zhe Ma. Robust Visual Imitation Learning with Inverse Dynamics Representations. The Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024 [CCF A类]
[2] Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu and Chongjie Zhang. IOB: integrating optimization transfer and behavior transfer for multi？policy reuse. Autonomous Agents and Multi-Agent Systems (JAAMAS), 2023 [CCF B类]
[3] Shijie Han, Siyuan Li, Bo An, Wei Zhao and Peng Liu. Classifying Ambiguous Identities in Stochastic Games with Multi-Agent Reinforcement Learning. Autonomous Agents and Multi-Agent Systems (JAAMAS), 2023 [CCF B类]
[4] Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu and Xuelong Li. Behavior Contrastive Learning for Unsupervised Skill Discovery. International Conference on Machine Learning (ICML), 2023 [CCF A类]
[5] Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao and Chongjie Zhang. Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. The Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023 [CCF A类]
[6] Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang and Oya Celiktutan. Learning to Solve Tasks with Incomplete Demonstration. International Conference on Intelligent Robots and Systems (IROS), 2023. [CCF C类]
[7] Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu and Chongjie Zhang. Active Hierarchical Exploration with Stable Subgoal Representation Learning. The Tenth International Conference on Learning Representations (ICLR), 2022 [TH-CPL A类]
[8] Jin Zhang, Siyuan Li and Chongjie Zhang. CUP: Critic-Guided Policy Reuse. Advances in Neural Information Processing Systems (NeurIPS), 2022 [CCF A类]
[9] Hui Niu*, Siyuan Li* and Jian Li. MetaTrader: A Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. International Conference on Information and Knowledge Management (CIKM), 2022 [CCF B类]
[10] Siyuan Li*, Lulu Zheng*, Jianhao Wang and Chongjie Zhang. Learning Subgoal Representations with Slow Dynamics. The Ninth International Conference on Learning Representations (ICLR), 2021 [TH-CPL A类]
[11] Jianhao Wang*, Wenzhe Li*, Haozhe Jiang, Guangxiang Zhu, Siyuan Li and Chongjie Zhang. Offline Reinforcement Learning with Reverse Model-based Imagination. Advances in Neural Information Processing Systems (NeurIPS), 2021 [CCF A类]
[12] Siyuan Li. Deep Reinforcement Learning with Hierarchical Structures. The Thirtieth International Joint Conference on Artificial Intelligence (IJCAI) Doctoral Consortium, 2021
[13] Siyuan Li*, Rui Wang*, Minxue Tang and Chongjie Zhang. Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. Advances in Neural Information Processing Systems (NeurIPS), 2019 [CCF A类]
[14] Siyuan Li, Fangda Gu, Guangxiang Zhu and Chongjie Zhang. Context-Aware Policy Reuse. International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019 [CCF B类]
[15] Siyuan Li and Chongjie Zhang. An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. The Thirty-Second AAAI Conference on Artificial Intelligence, 2018 [CCF A类]
[16] Hui Niu*, Siyuan Li*, Jian Li and Jian Guo. Deep Reinforcement Learning with Multi-Granularity Predictive Signals for Optimal Market Making. Under review.
[17] Siyuan Li, Hui Niu, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo and Zhen Wang. Toward Automatic Market Making: An Imitative Reinforcement Learning Approach with Predictive Representation Learning. Under review on IEEE Transactions on Emerging Topics in Computational Intelligence.
[18] Yongyan Wen, Siyuan Li, Bo An, Wei Zhao and Peng Liu. Curriculum Reinforcement Learning with Measurable Task Representation Learning. Under review on ACM Transactions on Intelligent Systems and Technology.
[19] 李斯源，左镕畅，王鑫淼，赵英男. 面向无人机近距离空战问题的高模仿性强化学习控制方法. 《计算级工程》期刊在审.