Yuanheng Zhu - RankMe

100 papers A* 7A 3B 10C 3Journal 66Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CMIP: Combining Constructive Model With Improvement Policy for Large-Scale Min-Max Multiple Traveling Salesman Problem. IEEE Trans. Intell. Transp. Syst. Binbin Zuo, Weifan Li, Jiankuo Zhao, Tianxiang Bai, Linqian Yang, Zhe Ma, Yuanheng Zhu
2026	J	`jnl`	CPIG: Leveraging Consistency Policy With Intention Guidance for Multiagent Exploration. IEEE Trans. Cogn. Dev. Syst. Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao
2026	J	`jnl`	Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes. CoRR Yuqian Fu, Haohuan Huang, Kaiwen Jiang, Yuanheng Zhu, Dongbin Zhao
2026	J	`jnl`	Tacit mechanism: Bridging pre-training of individuality to multi-agent adversarial coordination. Neural Networks Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Tian-Tian Zhang, Yuanheng Zhu, Xueqian Wang
2025	—	`conf`	ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games. DAI Ruochuan Shi, Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games. CoRR Ruochuan Shi, Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Boosting On-Policy Actor-Critic With Shallow Updates in Critic. IEEE Trans. Neural Networks Learn. Syst. Luntong Li, Yuanheng Zhu
2025	A*	`conf`	Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium. ICML Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic. CoRR Yaocheng Zhang, Haohuan Huang, Zijun Song, Yuanheng Zhu, Qichao Zhang, Zijie Zhao, Dongbin Zhao
2025	A*	`conf`	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. ICML Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. CoRR Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao
2025	A*	`conf`	Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games. ICLR Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	A*	`conf`	Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. ICLR Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2025	J	`jnl`	Empowering Multi-Robot Cooperation via Sequential World Models. CoRR Zijie Zhao, Honglei Guo, Shengqian Chen, Kaixuan Xu, Bo Jiang, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games. CoRR Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi
2025	A*	`conf`	INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. ICLR Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao
2025	J	`jnl`	LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. IEEE Trans. Syst. Man Cybern. Syst. Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Dongbin Zhao
2025	J	`jnl`	Last-Iterate Convergence to Approximate Nash Equilibria in Multiplayer Imperfect Information Games. IEEE Trans. Neural Networks Learn. Syst. Runyu Lu, Yuanheng Zhu, Dongbin Zhao, Yu Liu, You He
2025	A	`conf`	Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination. AAMAS Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Yuanheng Zhu, Xueqian Wang
2025	J	`jnl`	Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference. IEEE Trans. Neural Networks Learn. Syst. Zijie Zhao, Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Multi-Task Multi-Agent Reinforcement Learning With Task-Entity Transformers and Value Decomposition Training. IEEE Trans Autom. Sci. Eng. Yuanheng Zhu, Shangjing Huang, Binbin Zuo, Dongbin Zhao, Changyin Sun
2025	A	`conf`	Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning. AAMAS Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao
2025	J	`jnl`	R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability. CoRR Runyu Lu, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao
2025	A*	`conf`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. EMNLP Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. CoRR Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. CoRR Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao
2024	A	`conf`	Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2024	J	`jnl`	CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. CoRR Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao
2024	J	`jnl`	Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. CoRR Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao
2024	J	`jnl`	Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Trans. Artif. Intell. Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao
2024	J	`jnl`	FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
2024	J	`jnl`	FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. IEEE Trans. Emerg. Top. Comput. Intell. Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
2024	J	`jnl`	MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao
2024	A*	`conf`	Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. NeurIPS Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
2024	J	`jnl`	Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. CoRR Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
2024	J	`jnl`	NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2024	J	`jnl`	Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility. IEEE Trans. Artif. Intell. Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE Trans. Syst. Man Cybern. Syst. Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
2023	B	`conf`	Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN Weifan Li, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
2023	J	`jnl`	Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE Trans. Games Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
2023	J	`jnl`	Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2023	B	`conf`	NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. IJCNN Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. CoRR Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao
2023	—	`conf`	Policy Representation Opponent Shaping via Contrastive Learning. ICONIP (9) Yuming Chen, Yuanheng Zhu
2023	J	`jnl`	Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2023	J	`jnl`	Vision-based control in the open racing car simulator with deep and reinforcement learning. J. Ambient Intell. Humaniz. Comput. Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. CoRR Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
2022	J	`jnl`	Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs. IEEE Trans. Neural Networks Learn. Syst. Xiong Yang, Yuanheng Zhu, Na Dong, Qinglai Wei
2022	C	`conf`	LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2022	C	`conf`	Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization. CoG Luntong Li, Zhiming Zhou, Jiajun Chai, Zhen Liu, Yuanheng Zhu, Jianqiang Yi
2022	J	`jnl`	Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. Complex Intell. Syst. Weifan Li, Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2021	J	`jnl`	Empirical Policy Optimization for n-Player Markov Games. CoRR Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li
2021	J	`jnl`	Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. Yuanheng Zhu, Dongbin Zhao, Haibo He
2021	C	`conf`	Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm. CoG Rongqin Liang, Yuanheng Zhu, Zhentao Tang, Mu Yang, Xiaolong Zhu
2020	B	`conf`	An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN Minsong Liu, Yuanheng Zhu, Dongbin Zhao
2020	B	`conf`	Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao
2020	J	`jnl`	Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. CoRR Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
2020	J	`jnl`	Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2020	J	`jnl`	Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. Yuanheng Zhu, Dongbin Zhao, Haibo He
2020	J	`jnl`	LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. Yuanheng Zhu, Haibo He, Dongbin Zhao
2020	J	`jnl`	Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. Yuanheng Zhu, Dongbin Zhao, Haibo He
2019	J	`jnl`	A Survey of Deep Reinforcement Learning in Video Games. CoRR Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao
2019	J	`jnl`	Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE Trans. Control. Syst. Technol. Yuanheng Zhu, Dongbin Zhao, Zhiguang Zhong
2019	J	`jnl`	Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE Trans. Smart Grid Yuanheng Zhu, Dongbin Zhao, Xiangjun Li, Ding Wang
2019	—	`conf`	Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI Weifan Li, Yuanheng Zhu, Dongbin Zhao
2019	B	`conf`	Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. IJCNN Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou
2019	J	`jnl`	StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. Kun Shao, Yuanheng Zhu, Dongbin Zhao
2018	—	`conf`	A Review of Computational Intelligence for StarCraft AI. SSCI Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang
2018	—	`conf`	An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu
2018	J	`jnl`	Comprehensive comparison of online ADP algorithms for continuous-time optimal control. Artif. Intell. Rev. Yuanheng Zhu, Dongbin Zhao
2018	—	`conf`	Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator. ICONIP (3) Yuanheng Zhu, Dongbin Zhao
2018	—	`conf`	Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu
2018	J	`jnl`	Policy Iteration for H IEEE Trans. Cybern. Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang
2018	J	`jnl`	StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR Kun Shao, Yuanheng Zhu, Dongbin Zhao
2018	B	`conf`	Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang
2017	—	`conf`	Cooperative reinforcement learning for multiple units combat in starCraft. SSCI Kun Shao, Yuanheng Zhu, Dongbin Zhao
2017	J	`jnl`	Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
2017	J	`jnl`	Event-Triggered H IEEE Trans. Syst. Man Cybern. Syst. Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
2017	J	`jnl`	Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE Trans. Ind. Electron. Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji
2017	J	`jnl`	Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE Trans. Neural Networks Learn. Syst. Yuanheng Zhu, Dongbin Zhao, Xiangjun Li
2016	B	`conf`	Convolutional fitted Q iteration for vision-based control problems. IJCNN Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang
2016	—	`conf`	Deep reinforcement learning with experience replay based on SARSA. SSCI Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu
2016	J	`jnl`	Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE Trans. Cybern. Dongbin Zhao, Qichao Zhang, Ding Wang, Yuanheng Zhu
2016	B	`conf`	Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen
2015	J	`jnl`	A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. Neural Comput. Appl. Yuanheng Zhu, Dongbin Zhao
2015	J	`jnl`	Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. Cogn. Comput. Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji
2015	J	`jnl`	Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. Neurocomputing Yuanheng Zhu, Dongbin Zhao, Derong Liu
2015	J	`jnl`	MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE Trans. Neural Networks Learn. Syst. Dongbin Zhao, Yuanheng Zhu
2015	B	`conf`	Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia
2014	—	`conf`	A data-based online reinforcement learning algorithm with high-efficient exploration. ADPRL Yuanheng Zhu, Dongbin Zhao
2014	J	`jnl`	Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu, Ding Wang
2013	—	`conf`	Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. ICONIP (2) Yuanheng Zhu, Dongbin Zhao
2012	B	`conf`	Neural and fuzzy dynamic programming for under-actuated systems. IJCNN Dongbin Zhao, Yuanheng Zhu, Haibo He