Siyuan Li - RankMe

47 papers A* 14A 3Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions. ACM Trans. Auton. Adapt. Syst. Siyuan Li, Rongchang Zuo, Bofei Liu, Yaoyu He, Peng Liu, Yingnan Zhao
2026	J	`jnl`	GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems. CoRR Yiqin Yang, Xu Yang, Yuhua Jiang, Ni Mu, Hao Hu, Runpeng Xie, Ziyou Zhang, Siyuan Li, Yuan-Hua Ni, Qianchuan Zhao, Bo Xu
2026	J	`jnl`	Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation. CoRR Siyuan Li, Jiani Lu, Yu Song, Xianren Li, Bo An, Peng Liu
2026	A*	`conf`	MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios. AAAI Xuantang Xiong, Ni Mu, Runpeng Xie, Senhao Yang, Yaqing Wang, Lexiang Wang, Yao Luan, Siyuan Li, Shuang Xu, Yiqin Yang, Bo Xu
2025	J	`jnl`	Auxiliary Reward Generation With Transition Distance Representation Learning. IEEE Trans Autom. Sci. Eng. Siyuan Li, Shijie Han, Yingnan Zhao, Yiqin Yang, Qianchuan Zhao, Peng Liu
2025	J	`jnl`	Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. CoRR Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An
2025	J	`jnl`	DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. CoRR Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu
2025	J	`jnl`	MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios. CoRR Xuantang Xiong, Ni Mu, Runpeng Xie, Senhao Yang, Yaqing Wang, Lexiang Wang, Yao Luan, Siyuan Li, Shuang Xu, Yiqin Yang, Bo Xu
2025	A*	`conf`	Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. AAAI Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang
2025	A*	`conf`	SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. AAAI Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu
2025	J	`jnl`	Skywork Open Reasoner 1 Technical Report. CoRR 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
2025	J	`jnl`	Toward Automatic Market Making: An Imitative Reinforcement Learning Approach With Predictive Representation Learning. IEEE Trans. Emerg. Top. Comput. Intell. Siyuan Li, Yafei Chen, Hui Niu, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Zhen Wang
2024	J	`jnl`	A multi-agent learning framework for mixed-integer linear programming. INFOR Inf. Syst. Oper. Res. Yuchen Jing, Binyan Liang, Siyuan Li, Feifan Liu, Wei Zhao, Peng Liu
2024	J	`jnl`	An Imitative Reinforcement Learning Framework for Autonomous Dogfight. CoRR Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao
2024	J	`jnl`	Auxiliary Reward Generation with Transition Distance Representation Learning. CoRR Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu
2024	A*	`conf`	IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. IJCAI Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo
2024	J	`jnl`	IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
2024	A*	`conf`	MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning. IJCAI Hui Niu, Siyuan Li, Jian Li
2024	A*	`conf`	Robust Visual Imitation Learning with Inverse Dynamics Representations. AAAI Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma
2024	J	`jnl`	Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. CoRR Siyuan Li, Zhe Ma, Feifan Liu, Jiani Lu, Qinqin Xiao, Kewu Sun, Lingfei Cui, Xirui Yang, Peng Liu, Xun Wang
2024	J	`jnl`	SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. CoRR Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu
2023	A*	`conf`	Behavior Contrastive Learning for Unsupervised Skill Discovery. ICML Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
2023	J	`jnl`	Behavior Contrastive Learning for Unsupervised Skill Discovery. CoRR Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
2023	J	`jnl`	Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu
2023	A*	`conf`	Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. AAAI Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2023	J	`jnl`	IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. CoRR Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Bo An
2023	J	`jnl`	IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
2023	A	`conf`	Learning to Solve Tasks with Exploring Prior Behaviours. IROS Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
2023	J	`jnl`	Learning to Solve Tasks with Exploring Prior Behaviours. CoRR Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
2023	J	`jnl`	Robust Visual Imitation Learning with Inverse Dynamics Representations. CoRR Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma
2022	A*	`conf`	Active Hierarchical Exploration with Stable Subgoal Representation Learning. ICLR Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang
2022	A*	`conf`	CUP: Critic-Guided Policy Reuse. NeurIPS Jin Zhang, Siyuan Li, Chongjie Zhang
2022	J	`jnl`	CUP: Critic-Guided Policy Reuse. CoRR Jin Zhang, Siyuan Li, Chongjie Zhang
2022	J	`jnl`	Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. CoRR Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2022	J	`jnl`	IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities. CoRR Shijie Han, Peng Liu, Siyuan Li
2022	A	`conf`	MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. CIKM Hui Niu, Siyuan Li, Jian Li
2022	J	`jnl`	MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. CoRR Hui Niu, Siyuan Li, Jian Li
2021	J	`jnl`	Efficient Hierarchical Exploration with Stable Subgoal Representation Learning. CoRR Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang
2021	A*	`conf`	Learning Subgoal Representations with Slow Dynamics. ICLR Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang
2021	A*	`conf`	Offline Reinforcement Learning with Reverse Model-based Imagination. NeurIPS Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
2021	J	`jnl`	Offline Reinforcement Learning with Reverse Model-based Imagination. CoRR Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
2019	A	`conf`	Context-Aware Policy Reuse. AAMAS Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang
2019	A*	`conf`	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
2019	J	`jnl`	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
2018	A*	`conf`	An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. AAAI Siyuan Li, Chongjie Zhang
2018	J	`jnl`	Context-Aware Policy Reuse. CoRR Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang
2017	J	`jnl`	An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. CoRR Siyuan Li, Chongjie Zhang