Siyuan Li

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Chongjie zhangWashington University in St. LouisVerified email at wustl.edu
Jianhao WangPhd of Computer Science, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Guangxiang ZhuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Rui WangAlumni, Stanford UniversityVerified email at cs.stanford.edu
Minxue TangDuke UniversityVerified email at duke.edu
Wenzhe LiPrinceton UniversityVerified email at princeton.edu
Jin ZhangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Fangda GuPhD Student, UC BerkeleyVerified email at berkeley.edu
Lulu ZhengTsinghua UniverisityVerified email at mails.tsinghua.edu.cn
Eric JiangUndergraduate Student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yang YuProfessor, Nanjing UniversityVerified email at nju.edu.cn
Jian LiTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Qianchuan ZhaoCenter for Intelligent and Networked Systems, Dept. Automation, Tsinghua University, Beijing, ChinaVerified email at tsinghua.edu.cn
Yiqin YangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Hao HuUniversity of Central FloridaVerified email at knights.ucf.edu
Bo AnNanyang Technological UniversityVerified email at ntu.edu.sg

Siyuan Li

Harbin Institute of Technology

Verified email at hit.edu.cn - Homepage

Reinforcement Learning Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Hierarchical reinforcement learning with advantage-based auxiliary rewards S Li, R Wang, M Tang, C Zhang Advances in Neural Information Processing Systems 32, 2019	67	2019
An optimal online method of selecting source policies for reinforcement learning S Li, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	44	2018
Learning subgoal representations with slow dynamics S Li, L Zheng, J Wang, C Zhang International Conference on Learning Representations, 2020	29	2020
Context-aware policy reuse S Li, F Gu, G Zhu, C Zhang arXiv preprint arXiv:1806.03793, 2018	29	2018
Offline reinforcement learning with reverse model-based imagination J Wang, W Li, H Jiang, G Zhu, S Li, C Zhang Advances in Neural Information Processing Systems 34, 29420-29432, 2021	24	2021
Active hierarchical exploration with stable subgoal representation learning S Li, J Zhang, J Wang, Y Yu, C Zhang arXiv preprint arXiv:2105.14750, 2021	15	2021
MetaTrader: An reinforcement learning approach integrating diverse policies for portfolio optimization H Niu, S Li, J Li Proceedings of the 31st ACM International Conference on Information …, 2022	8	2022
Cup: Critic-guided policy reuse J Zhang, S Li, C Zhang Advances in Neural Information Processing Systems 35, 27537-27548, 2022	3	2022
Flow to control: Offline reinforcement learning with lossless primitive discovery Y Yang, H Hu, W Li, S Li, J Yang, Q Zhao, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10843 …, 2023	2	2023
Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning S Han, S Li, B An, W Zhao, P Liu Autonomous Agents and Multi-Agent Systems 37 (2), 35, 2023		2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse S Li, H Li, J Zhang, Z Wang, P Liu, C Zhang arXiv preprint arXiv:2308.07351, 2023		2023
IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities S Han, S Li arXiv preprint arXiv:2210.12896, 2022		2022
Deep Reinforcement Learning with Hierarchical Structures. S Li IJCAI, 4899-4900, 2021		2021

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