李斯源 - 哈尔滨工业大学

个人简介

李斯源，博士，副教授，硕导，现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。主要研究方向为深度强化学习、多智能体系统、机器人学习等。在NeurIPS会议上发表论文3篇，ICLR会议上发表论文2篇，ICML会议上发表论文1篇，AAAI会议上发表论文2篇，AAMAS、CIKM、IROS等国际会议上各发表论文1篇，JAAMAS期刊上发表论文1篇；授权国际发明专利1项，国内发明专利1项。担任CCF人工智能与模式识别专委会多智能体学组执行委员，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，航天一院创新基金项目1项。 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 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

研究领域

深度强化学习、多智能体系统、机器人学习等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Shijie Han, Siyuan Li, Bo An, Wei Zhao and Peng Liu. Classifying Ambiguous Identities in Stochastic Games with Multi-Agent Reinforcement Learning. JAAMAS 2023 [CCF B类] 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] 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] Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang and Oya Celiktutan. Learning to Solve Tasks with Incomplete Demonstration. IROS, 2023. [CCF C类] 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] Jin Zhang, Siyuan Li and Chongjie Zhang. CUP: Critic-Guided Policy Reuse. Advances in Neural Information Processing Systems (NeurIPS), 2022 [CCF A类] 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] 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] 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] Siyuan Li. Deep Reinforcement Learning with Hierarchical Structures. The Thirtieth International Joint Conference on Artificial Intelligence (IJCAI) Doctoral Consortium, 2021 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] 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] 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] Hui Niu*, Siyuan Li*, Jian Li and Jian Guo. Deep Reinforcement Learning with Multi-Granularity Predictive Signals for Optimal Market Making. Under Review 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. Under Review