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浏览/检索结果:
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FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game
期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
作者:
Guangzheng Hu
;
Yuanheng Zhu
;
Haoran Li
;
Dongbin Zhao
Adobe PDF(2144Kb)
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浏览/下载:44/8
  |  
提交时间:2024/06/05
Games
Q-learning
Task analysis
Optimization
Convergence
Training
Nash equilibrium
Multi-agent reinforcement learning
minimax-Q learning
two-team zero-sum Markov games
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:62/3
  |  
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:252/12
  |  
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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收藏
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浏览/下载:264/12
  |  
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)
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition
期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 5, 期号: 1, 页码: 5 - 15
作者:
Zhentao Tang
;
Yuanheng Zhu
;
Dongbin Zhao
;
Simon M. Lucas
Adobe PDF(7686Kb)
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浏览/下载:357/75
  |  
提交时间:2021/07/05
Rolling horizon evolution
opponent model
reinforcement learning
supervised learning
fighting game
A Review of Computational Intelligence for StarCraft AI
会议论文
, Bangalore, India, 18-21 Nov. 2018
作者:
Tang, Zhentao
;
Shao, Kun
;
Zhu, Yuanheng
;
Li, Dong
;
Zhao, Dongbin
;
Huang, Tingwen
浏览
  |  
Adobe PDF(131Kb)
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浏览/下载:528/236
  |  
提交时间:2019/04/25
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning
期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
作者:
Kun Shao
;
Yuanheng Zhu
;
Dongbin Zhao
浏览
  |  
Adobe PDF(4125Kb)
  |  
收藏
  |  
浏览/下载:364/137
  |  
提交时间:2019/04/22
Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 3, 页码: 714-725
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
;
Li, Xiangjun
浏览
  |  
Adobe PDF(547Kb)
  |  
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  |  
浏览/下载:476/195
  |  
提交时间:2017/05/05
Adaptive Dynamic Programming (Adp)
H-infinity Control
Policy Iteration (Pi)
Zero-sum Game (Zsg)
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs
期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
作者:
Zhang, Qichao
;
Zhao, Dongbin
;
Zhu, Yuanheng
浏览
  |  
Adobe PDF(1508Kb)
  |  
收藏
  |  
浏览/下载:669/282
  |  
提交时间:2017/05/04
Adaptive Dynamic Programming
Optimal Control
Neural Network
Fully Cooperative Games
Data-driven
Constrained Input