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Siyuan Li 0003
Person information
- affiliation: Harbin Institute of Technology, Faculty of Computing, China
- affiliation (former): Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
Other persons with the same name
- Siyuan Li — disambiguation page
- Siyuan Li 0001 — Tianjin University, College of Intelligence and Computing, China
- Siyuan Li 0002
— Westlake University, School of Engineering, Hangzhou, China (and 2 more) - Siyuan Li 0004
— Southwest University of Science and Technology, Mianyang, China - Siyuan Li 0005
— Shanghai Jiao Tong University, School of Cyber Science and Engineering, China - Siyuan Li 0006
— Shenzhen University, College of Physics and Optoelectronic Engineering, China (and 1 more) - Seth Siyuan Li
(aka: Seth Li, Siyuan Li 0007) — College of William & Mary, Williamsburg, VA, USA (and 2 more) - Siyuan Li 0008 — ETH Zürich, Computer Vision Lab, Switzerland
- Siyuan Li 0009
![0000-0001-5014-9979 [0000-0001-5014-9979]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png)
- Siyuan Li 0010
![0009-0003-9351-8764 [0009-0003-9351-8764]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png)
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2020 – today
- 2025
[j5]Siyuan Li
, Shijie Han
, Yingnan Zhao
, Yiqin Yang
, Qianchuan Zhao, Peng Liu
:
Auxiliary Reward Generation With Transition Distance Representation Learning. IEEE Trans Autom. Sci. Eng. 22: 13728-13740 (2025)
[j4]Siyuan Li
, Yafei Chen, Hui Niu, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Zhen Wang
:
Toward Automatic Market Making: An Imitative Reinforcement Learning Approach With Predictive Representation Learning. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2427-2439 (2025)
[c16]Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang:
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. AAAI 2025: 14619-14627
[c15]Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu:
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. AAAI 2025: 21491-21500
[i21]Jujie He, Jiacai Liu, Chris Yuhao Liu, Rui Yan, Chaojie Wang, Peng Cheng, Xiaoyu Zhang, Fuxiang Zhang, Jiacheng Xu, Wei Shen, Siyuan Li, Liang Zeng, Tianwen Wei, Cheng Cheng, Bo An, Yang Liu, Yahui Zhou:
Skywork Open Reasoner 1 Technical Report. CoRR abs/2505.22312 (2025)
[i20]Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu:
DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. CoRR abs/2507.15615 (2025)
[i19]Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An:
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. CoRR abs/2508.03030 (2025)- 2024
[j3]Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang:
IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. 38(1): 3 (2024)
[j2]Yuchen Jing, Binyan Liang, Siyuan Li
, Feifan Liu, Wei Zhao, Peng Liu:
A multi-agent learning framework for mixed-integer linear programming. INFOR Inf. Syst. Oper. Res. 62(4): 588-598 (2024)
[c14]Siyuan Li, Xun Wang, Rongchang Zuo
, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma:
Robust Visual Imitation Learning with Inverse Dynamics Representations. AAAI 2024: 13609-13618
[c13]Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo:
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. IJCAI 2024: 5999-6007
[c12]Hui Niu, Siyuan Li, Jian Li:
MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning. IJCAI 2024: 6008-6016
[i18]Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu:
Auxiliary Reward Generation with Transition Distance Representation Learning. CoRR abs/2402.07412 (2024)
[i17]Siyuan Li, Rongchang Zuo
, Peng Liu, Yingnan Zhao:
An Imitative Reinforcement Learning Framework for Autonomous Dogfight. CoRR abs/2406.11562 (2024)
[i16]Siyuan Li, Zhe Ma, Feifan Liu, Jiani Lu, Qinqin Xiao, Kewu Sun, Lingfei Cui, Xirui Yang, Peng Liu, Xun Wang:
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. CoRR abs/2411.06920 (2024)
[i15]Yongyan Wen, Siyuan Li, Rongchang Zuo
, Lei Yuan, Hangyu Mao, Peng Liu:
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. CoRR abs/2411.12173 (2024)- 2023
[j1]Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu:
Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 35 (2023)
[c11]Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang:
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. AAAI 2023: 10843-10851
[c10]Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li:
Behavior Contrastive Learning for Unsupervised Skill Discovery. ICML 2023: 39183-39204
[c9]Ruiqi Zhu, Siyuan Li, Tianhong Dai
, Chongjie Zhang, Oya Çeliktutan:
Learning to Solve Tasks with Exploring Prior Behaviours. IROS 2023: 7501-7507
[i14]Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li:
Behavior Contrastive Learning for Unsupervised Skill Discovery. CoRR abs/2305.04477 (2023)
[i13]Ruiqi Zhu, Siyuan Li, Tianhong Dai
, Chongjie Zhang, Oya Çeliktutan:
Learning to Solve Tasks with Exploring Prior Behaviours. CoRR abs/2307.02889 (2023)
[i12]Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang:
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR abs/2308.07351 (2023)
[i11]Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Bo An:
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. CoRR abs/2308.08918 (2023)
[i10]Siyuan Li, Xun Wang, Rongchang Zuo
, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma:
Robust Visual Imitation Learning with Inverse Dynamics Representations. CoRR abs/2310.14274 (2023)- 2022
[c8]Hui Niu, Siyuan Li, Jian Li:
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. CIKM 2022: 1573-1583
[c7]Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang:
Active Hierarchical Exploration with Stable Subgoal Representation Learning. ICLR 2022
[c6]Jin Zhang, Siyuan Li, Chongjie Zhang:
CUP: Critic-Guided Policy Reuse. NeurIPS 2022
[i9]Hui Niu, Siyuan Li, Jian Li:
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. CoRR abs/2210.01774 (2022)
[i8]Jin Zhang, Siyuan Li, Chongjie Zhang:
CUP: Critic-Guided Policy Reuse. CoRR abs/2210.08153 (2022)
[i7]Shijie Han, Peng Liu, Siyuan Li:
IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities. CoRR abs/2210.12896 (2022)
[i6]Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang:
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. CoRR abs/2212.01105 (2022)- 2021
[c5]Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang:
Learning Subgoal Representations with Slow Dynamics. ICLR 2021
[c4]Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang:
Offline Reinforcement Learning with Reverse Model-based Imagination. NeurIPS 2021: 29420-29432
[i5]Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang:
Efficient Hierarchical Exploration with Stable Subgoal Representation Learning. CoRR abs/2105.14750 (2021)
[i4]Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang:
Offline Reinforcement Learning with Reverse Model-based Imagination. CoRR abs/2110.00188 (2021)
2010 – 2019
- 2019
[c3]Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang:
Context-Aware Policy Reuse. AAMAS 2019: 989-997
[c2]Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang:
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS 2019: 1407-1417
[i3]Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang:
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR abs/1910.04450 (2019)- 2018
[c1]Siyuan Li, Chongjie Zhang:
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. AAAI 2018: 3562-3570
[i2]Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang:
Context-Aware Policy Reuse. CoRR abs/1806.03793 (2018)- 2017
[i1]Siyuan Li, Chongjie Zhang:
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. CoRR abs/1709.08201 (2017)
Coauthor Index

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last updated on 2025-11-17 23:03 CET by the dblp team
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