Yuanheng Zhu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 55

Top Topics

Rolling Horizon

Reinforcement Learning

Convergence Proof

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS (2024)
Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR (2024)
Yuanheng Zhu, Dongbin Zhao
Vision-based control in the open racing car simulator with deep and reinforcement learning. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. CoRR (2023)
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE Trans. Games 15 (1) (2023)
Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. IJCNN (2023)
Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE Trans. Syst. Man Cybern. Syst. 53 (9) (2023)
Yuming Chen, Yuanheng Zhu
Policy Representation Opponent Shaping via Contrastive Learning. ICONIP (9) (2023)
Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao
Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Runyu Lu, Yuanheng Zhu, Dongbin Zhao
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR (2023)
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53 (10) (2023)
Weifan Li, Yuanheng Zhu, Dongbin Zhao
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN (2023)
Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Yuanheng Zhu, Dongbin Zhao
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Luntong Li, Zhiming Zhou, Jiajun Chai, Zhen Liu, Yuanheng Zhu, Jianqiang Yi
Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization. CoG (2022)
Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. CoRR (2022)
Xiong Yang, Yuanheng Zhu, Na Dong, Qinglai Wei
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG (2022)
Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR (2022)
Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR (2022)
Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li
Empirical Policy Optimization for n-Player Markov Games. CoRR (2021)
Yuanheng Zhu, Dongbin Zhao, Haibo He
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Rongqin Liang, Yuanheng Zhu, Zhentao Tang, Mu Yang, Xiaolong Zhu
Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm. CoG (2021)
Minsong Liu, Yuanheng Zhu, Dongbin Zhao
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN (2020)
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. CoRR (2020)
Yuanheng Zhu, Dongbin Zhao, Haibo He
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. 69 (4) (2020)
Yuanheng Zhu, Dongbin Zhao, Haibo He
Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Yuanheng Zhu, Haibo He, Dongbin Zhao
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN (2020)
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR (2020)
Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao
A Survey of Deep Reinforcement Learning in Video Games. CoRR (2019)
Kun Shao, Yuanheng Zhu, Dongbin Zhao
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3 (1) (2019)
Yuanheng Zhu, Dongbin Zhao, Xiangjun Li, Ding Wang
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE Trans. Smart Grid 10 (4) (2019)
Weifan Li, Yuanheng Zhu, Dongbin Zhao
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI (2019)
Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. IJCNN (2019)
Yuanheng Zhu, Dongbin Zhao, Zhiguang Zhong
Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE Trans. Control. Syst. Technol. 27 (4) (2019)
Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu
Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG (2018)
Kun Shao, Yuanheng Zhu, Dongbin Zhao
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR (2018)
Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang
Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE Trans. Cybern. 48 (2) (2018)
Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu
An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI (2018)
Yuanheng Zhu, Dongbin Zhao
Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator. ICONIP (3) (2018)
Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang
A Review of Computational Intelligence for StarCraft AI. SSCI (2018)
Yuanheng Zhu, Dongbin Zhao
Comprehensive comparison of online ADP algorithms for continuous-time optimal control. Artif. Intell. Rev. 49 (4) (2018)
Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang
Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN (2018)
Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji
Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE Trans. Ind. Electron. 64 (5) (2017)
Yuanheng Zhu, Dongbin Zhao, Xiangjun Li
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE Trans. Neural Networks Learn. Syst. 28 (3) (2017)
Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE Trans. Syst. Man Cybern. Syst. 47 (7) (2017)
Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing 238 (2017)
Kun Shao, Yuanheng Zhu, Dongbin Zhao
Cooperative reinforcement learning for multiple units combat in starCraft. SSCI (2017)
Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN (2016)
Dongbin Zhao, Qichao Zhang, Ding Wang, Yuanheng Zhu
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE Trans. Cybern. 46 (3) (2016)
Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu
Deep reinforcement learning with experience replay based on SARSA. SSCI (2016)
Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang
Convolutional fitted Q iteration for vision-based control problems. IJCNN (2016)
Yuanheng Zhu, Dongbin Zhao, Derong Liu
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. Neurocomputing 149 (2015)
Yuanheng Zhu, Dongbin Zhao
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. Neural Comput. Appl. 26 (4) (2015)
Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia
Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN (2015)
Dongbin Zhao, Yuanheng Zhu
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE Trans. Neural Networks Learn. Syst. 26 (2) (2015)
Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. Cogn. Comput. 7 (6) (2015)
Yuanheng Zhu, Dongbin Zhao
A data-based online reinforcement learning algorithm with high-efficient exploration. ADPRL (2014)
Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu, Ding Wang
Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing 125 (2014)
Yuanheng Zhu, Dongbin Zhao
Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. ICONIP (2) (2013)
Dongbin Zhao, Yuanheng Zhu, Haibo He
Neural and fuzzy dynamic programming for under-actuated systems. IJCNN (2012)