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浏览/检索结果:
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2469Kb)
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浏览/下载:63/3
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2838Kb)
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浏览/下载:254/12
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提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
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浏览/下载:291/38
  |  
提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Hu, Guangzheng
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Zhao, Mengchen
;
Hao, Jianye
Adobe PDF(4187Kb)
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浏览/下载:266/12
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提交时间:2022/01/27
Bandwidth
Protocols
Reinforcement learning
Task analysis
Optimization
Communication networks
Multi-agent systems
Event trigger
limited bandwidth
multi-agent communication
multi-agent reinforcement learning (MARL)
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Yang, Xiong
;
Zhu, Yuanheng
;
Dong, Na
;
Wei, Qinglai
Adobe PDF(1578Kb)
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浏览/下载:240/16
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提交时间:2022/01/27
Adaptive critic designs (ACDs)
adaptive dynamic programming (ADP)
decentralized event-driven control
input constraint
reinforcement learning (RL)
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
Adobe PDF(4019Kb)
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浏览/下载:385/86
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提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:
Zhao, Bo
;
Liu, Derong
;
Luo, Chaomin
收藏
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浏览/下载:235/0
  |  
提交时间:2021/01/07
Nonlinear systems
Optimal control
Artificial neural networks
Actuators
Observers
Feedforward systems
Adaptive dynamic programming (ADP)
neural networks (NNs)
optimal control
reinforcement learning (RL)
uncertain input constraints
unknown nonlinear systems
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:
Li, Haoran
;
Zhang, Qichao
;
Zhao, Dongbin
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Adobe PDF(4274Kb)
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浏览/下载:414/127
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提交时间:2020/08/03
Robot sensing systems
Navigation
Entropy
Neural networks
Task analysis
Planning
Automatic exploration
deep reinforcement learning (DRL)
optimal decision
partial observation
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 6, 页码: 2099-2111
作者:
Luo, Biao
;
Liu, Derong
;
Wu, Huai-Ning
Adobe PDF(1045Kb)
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浏览/下载:402/122
  |  
提交时间:2018/10/10
Adaptive Control
Adaptive Dynamic Programming
Constraints
Critic-only
Data-based
Optimal Control
Q-learning
On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 993-1005
作者:
Wang, Ding
;
Mu, Chaoxu
;
Liu, Derong
;
Ma, Hongwen
收藏
  |  
浏览/下载:212/0
  |  
提交时间:2018/10/10
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Data Driven Control
Event Driven Control
Hamilton-jacobi-isaacs (Hji) Equation
Neural Network Identification
Nonlinear H-infinity Control
Zero-sum Game