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ORCIDSiyuan 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
![[0000-0001-6806-2468]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6806-2468")
— 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
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Journal Articles
- 2024
[j1]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)
Conference and Workshop Papers
- 2023
- [c10]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 - [c9]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 - [c8]Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan:
Learning to Solve Tasks with Exploring Prior Behaviours. IROS 2023: 7501-7507 - 2022
- [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 - 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 - 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 - 2018
- [c1]Siyuan Li, Chongjie Zhang:
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. AAAI 2018: 3562-3570
Informal and Other Publications
- 2023
- [i10]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) - [i9]Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan:
Learning to Solve Tasks with Exploring Prior Behaviours. CoRR abs/2307.02889 (2023) - [i8]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) - 2022
- [i7]Jin Zhang, Siyuan Li, Chongjie Zhang:
CUP: Critic-Guided Policy Reuse. CoRR abs/2210.08153 (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
- [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) - 2019
- [i3]Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang:
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR abs/1910.04450 (2019) - 2018
- [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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