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IEEE Transactions on Neural Networks and Learning Systems
|
December 5, 2014
MEC--a near-optimal online reinforcement learning algorithm for continuous deterministic systems
Dongbin Zhao, Yuanheng Zhu
IEEE Transactions on Neural Networks and Learning Systems
|
April 15, 2024
Boosting On-Policy Actor-Critic With Shallow Updates in Critic
Luntong Li, Yuanheng Zhu
IEEE Transactions on Neural Networks and Learning Systems
|
December 11, 2020
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
Yuanheng Zhu, Dongbin Zhao
IEEE Transactions on Neural Networks and Learning Systems
|
June 2, 2016
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data
Yuanheng Zhu, Dongbin Zhao, Xiangjun Li
IEEE Transactions on Neural Networks and Learning Systems
|
September 6, 2023
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
IEEE Transactions on Neural Networks and Learning Systems
|
April 16, 2021
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
Xiong Yang, Yuanheng Zhu, Na Dong, et al.
IEEE Transactions on Cybernetics
|
January 17, 2017
Policy Iteration for $H_\infty $ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming
Yuanheng Zhu, Dongbin Zhao, Xiong Yang, et al.
IEEE Transactions on Cybernetics
|
November 4, 2015
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics
Dongbin Zhao, Qichao Zhang, Ding Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
November 1, 2021
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, et al.
IEEE Transactions on Cybernetics
|
June 24, 2022
Empirical Policy Optimization for n-Player Markov Games
Yuanheng Zhu, Weifan Li, Mengchen Zhao, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Neural Networks and Learning Systems
|
December 5, 2014
MEC--a near-optimal online reinforcement learning algorithm for continuous deterministic systems
Dongbin Zhao, Yuanheng Zhu
IEEE Transactions on Neural Networks and Learning Systems
|
April 15, 2024
Boosting On-Policy Actor-Critic With Shallow Updates in Critic
Luntong Li, Yuanheng Zhu
IEEE Transactions on Neural Networks and Learning Systems
|
December 11, 2020
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
Yuanheng Zhu, Dongbin Zhao
IEEE Transactions on Neural Networks and Learning Systems
|
June 2, 2016
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data
Yuanheng Zhu, Dongbin Zhao, Xiangjun Li
IEEE Transactions on Neural Networks and Learning Systems
|
September 6, 2023
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
IEEE Transactions on Neural Networks and Learning Systems
|
April 16, 2021
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
Xiong Yang, Yuanheng Zhu, Na Dong, et al.
IEEE Transactions on Cybernetics
|
January 17, 2017
Policy Iteration for $H_\infty $ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming
Yuanheng Zhu, Dongbin Zhao, Xiong Yang, et al.
IEEE Transactions on Cybernetics
|
November 4, 2015
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics
Dongbin Zhao, Qichao Zhang, Ding Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
November 1, 2021
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, et al.
IEEE Transactions on Cybernetics
|
June 24, 2022
Empirical Policy Optimization for n-Player Markov Games
Yuanheng Zhu, Weifan Li, Mengchen Zhao, et al.
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