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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:66/5
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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:260/16
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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
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Zhen
;
Yi, Jianqiang
;
Wu, Shiguang
Adobe PDF(2967Kb)
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浏览/下载:376/59
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提交时间:2022/06/06
Training
Reinforcement learning
Games
Scalability
Task analysis
Standards
Optimization
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems
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:297/39
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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:275/13
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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)
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Cheng, Ting-Ting
;
Niu, Ben
;
Zhang, Jia-Ming
;
Wang, Ding
;
Wang, Zhen-Hua
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浏览/下载:303/0
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提交时间:2022/01/27
Interconnected systems
Artificial neural networks
Closed loop systems
Multi-agent systems
Asymptotic stability
Switches
Stability criteria
Asymptotic tracking control
event-triggered control
neural networks (NNs)
nonlinear interconnected systems
prescribed performance control (PPC)
unmodeled dynamics
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:
Ding ZX(丁子祥)
;
Yaran, Chen
;
Nannan, Li
;
Dingbin, Zhao
;
Zhiquan, Sun
;
C. L. Philip Chen
Adobe PDF(2713Kb)
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浏览/下载:216/51
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提交时间:2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), 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:391/88
  |  
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)
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:418/129
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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
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Adobe PDF(1045Kb)
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浏览/下载:404/124
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提交时间:2018/10/10
Adaptive Control
Adaptive Dynamic Programming
Constraints
Critic-only
Data-based
Optimal Control
Q-learning