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Yuanheng Zhu
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2020 – today
- 2024
- [j31]Minsong Liu
, Yuanheng Zhu
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Trans. Artif. Intell. 5(9): 4364-4375 (2024) - [j30]Haoran Li
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility. IEEE Trans. Artif. Intell. 5(9): 4585-4594 (2024) - [j29]Boyu Li
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. 16(4): 1611-1621 (2024) - [c24]Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu:
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS 2024: 281-289 - [i12]Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR abs/2402.00738 (2024) - [i11]Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao:
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. CoRR abs/2408.00309 (2024) - 2023
- [j28]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): 15673-15685 (2023) - [j27]Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu
Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 15(3): 1463-1473 (2023) - [j26]Zhentao Tang
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE Trans. Games 15(1): 5-15 (2023) - [j25]Yuanheng Zhu
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j24]Jiajun Chai
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2093-2104 (2023) - [j23]Guangzheng Hu
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3966-3978 (2023) - [j22]Jiajun Chai
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5417-5429 (2023) - [c23]Yuming Chen, Yuanheng Zhu:
Policy Representation Opponent Shaping via Contrastive Learning. ICONIP (9) 2023: 124-135 - [c22]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: 1-8 - [c21]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [i10]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 abs/2303.12319 (2023) - [i9]Runyu Lu, Yuanheng Zhu, Dongbin Zhao:
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR abs/2306.00350 (2023) - 2022
- [j21]Yuanheng Zhu
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1228-1241 (2022) - [j20]Xiong Yang
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5830-5844 (2022) - [c20]Yuqian Fu, Jiajun Chai
LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG 2022: 49-55 - [c19]Luntong Li, Zhiming Zhou, Jiajun Chai
Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization. CoG 2022: 616-619 - [i8]Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding:
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR abs/2203.14477 (2022) - [i7]Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR abs/2207.00964 (2022) - [i6]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 abs/2212.03830 (2022) - 2021
- [j19]Yuanheng Zhu
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. 18(3): 1097-1108 (2021) - [c18]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: 1-4 - [i5]Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li:
Empirical Policy Optimization for n-Player Markov Games. CoRR abs/2110.08979 (2021) - 2020
- [j18]Yuanheng Zhu
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 21(11): 4516-4525 (2020) - [j17]Yuanheng Zhu
Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 3959-3971 (2020) - [j16]Yuanheng Zhu
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. 69(4): 3615-3627 (2020) - [c17]Minsong Liu, Yuanheng Zhu, Dongbin Zhao:
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN 2020: 1-7 - [c16]Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao:
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN 2020: 1-8 - [i4]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 abs/2003.13949 (2020) - [i3]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR abs/2010.04978 (2020)
2010 – 2019
- 2019
- [j15]Yuanheng Zhu
Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE Trans. Control. Syst. Technol. 27(4): 1772-1779 (2019) - [j14]Kun Shao
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 73-84 (2019) - [j13]Yuanheng Zhu
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE Trans. Smart Grid 10(4): 4235-4244 (2019) - [c15]Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou:
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. IJCNN 2019: 1-8 - [c14]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI 2019: 57-63 - [i2]Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao:
A Survey of Deep Reinforcement Learning in Video Games. CoRR abs/1912.10944 (2019) - 2018
- [j12]Yuanheng Zhu, Dongbin Zhao:
Comprehensive comparison of online ADP algorithms for continuous-time optimal control. Artif. Intell. Rev. 49(4): 531-547 (2018) - [j11]Yuanheng Zhu, Dongbin Zhao
Policy Iteration for H∞ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE Trans. Cybern. 48(2): 500-509 (2018) - [c13]Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu:
Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG 2018: 1-4 - [c12]Yuanheng Zhu, Dongbin Zhao:
Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator. ICONIP (3) 2018: 326-334 - [c11]Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang:
Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN 2018: 1-6 - [c10]Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang:
A Review of Computational Intelligence for StarCraft AI. SSCI 2018: 1167-1173 - [c9]Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu:
An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI 2018: 1174-1179 - [i1]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR abs/1804.00810 (2018) - 2017
- [j10]Qichao Zhang, Dongbin Zhao
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing 238: 377-386 (2017) - [j9]Yuanheng Zhu
Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE Trans. Ind. Electron. 64(5): 4101-4109 (2017) - [j8]Yuanheng Zhu, Dongbin Zhao
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE Trans. Neural Networks Learn. Syst. 28(3): 714-725 (2017) - [j7]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu:
Event-Triggered H∞ Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1071-1081 (2017) - [c8]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
Cooperative reinforcement learning for multiple units combat in starCraft. SSCI 2017: 1-6 - 2016
- [j6]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): 854-865 (2016) - [c7]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen:
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN 2016: 4533-4538 - [c6]Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang:
Convolutional fitted Q iteration for vision-based control problems. IJCNN 2016: 4539-4544 - [c5]Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu:
Deep reinforcement learning with experience replay based on SARSA. SSCI 2016: 1-6 - 2015
- [j5]Yuanheng Zhu
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. Cogn. Comput. 7(6): 763-771 (2015) - [j4]Yuanheng Zhu
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. Neurocomputing 149: 124-131 (2015) - [j3]Yuanheng Zhu
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. Neural Comput. Appl. 26(4): 775-787 (2015) - [j2]Dongbin Zhao, Yuanheng Zhu
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE Trans. Neural Networks Learn. Syst. 26(2): 346-356 (2015) - [c4]Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia:
Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN 2015: 1-6 - 2014
- [j1]Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu
Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing 125: 57-67 (2014) - [c3]Yuanheng Zhu, Dongbin Zhao:
A data-based online reinforcement learning algorithm with high-efficient exploration. ADPRL 2014: 1-6 - 2013
- [c2]Yuanheng Zhu, Dongbin Zhao:
Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. ICONIP (2) 2013: 242-249 - 2012
- [c1]Dongbin Zhao, Yuanheng Zhu, Haibo He:
Neural and fuzzy dynamic programming for under-actuated systems. IJCNN 2012: 1-7
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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