Siyuan Li

According to our database, Siyuan Li authored at least 28 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming.

Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An

CoRR, August, 2025

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving.

Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu

CoRR, July, 2025

Toward Automatic Market Making: An Imitative Reinforcement Learning Approach With Predictive Representation Learning.

Siyuan Li, Yafei Chen, Hui Niu, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Zhen Wang

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Skywork Open Reasoner 1 Technical Report.

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

CoRR, May, 2025

Auxiliary Reward Generation With Transition Distance Representation Learning.

Siyuan Li, Shijie Han, Yingnan Zhao, Yiqin Yang, Qianchuan Zhao, Peng Liu

IEEE Trans Autom. Sci. Eng., 2025

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks.

Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning.

Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A multi-agent learning framework for mixed-integer linear programming.

Yuchen Jing, Binyan Liang, Siyuan Li, Feifan Liu, Wei Zhao, Peng Liu

INFOR Inf. Syst. Oper. Res., November, 2024

IOB: integrating optimization transfer and behavior transfer for multi-policy reuse.

Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang

Auton. Agents Multi Agent Syst., June, 2024

An Imitative Reinforcement Learning Framework for Autonomous Dogfight.

Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao

CoRR, 2024

Auxiliary Reward Generation with Transition Distance Representation Learning.

Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu

CoRR, 2024

IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making.

Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning.

Hui Niu, Siyuan Li, Jian Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Robust Visual Imitation Learning with Inverse Dynamics Representations.

Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning.

Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu

Auton. Agents Multi Agent Syst., October, 2023

Learning to Solve Tasks with Exploring Prior Behaviours.

Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan

IROS, 2023

Behavior Contrastive Learning for Unsupervised Skill Discovery.

Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li

Proceedings of the International Conference on Machine Learning, 2023

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery.

Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities.

Shijie Han, Peng Liu, Siyuan Li

CoRR, 2022

CUP: Critic-Guided Policy Reuse.

Jin Zhang, Siyuan Li, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Hierarchical Exploration with Stable Subgoal Representation Learning.

Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization.

Hui Niu, Siyuan Li, Jian Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Efficient Hierarchical Exploration with Stable Subgoal Representation Learning.

Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang

CoRR, 2021

Offline Reinforcement Learning with Reverse Model-based Imagination.

Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Subgoal Representations with Slow Dynamics.

Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards.

Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Context-Aware Policy Reuse.

Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

An Optimal Online Method of Selecting Source Policies for Reinforcement Learning.

Siyuan Li, Chongjie Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018