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OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Li, Kai;  Xu, Hang;  Zhao, Enmin;  Wu, Zhe;  Xing, Junliang
收藏  |  浏览/下载：100/0  |  提交时间：2023/11/17
Artificial intelligence (AI)  benchmark  imperfect-information game  Nash equilibrium  no-limit Texas hold'em (NLTH)  
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication 期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:  Pu, Zhiqiang;  Ai, Xiaolin;  Yi, Jianqiang
Adobe PDF(1775Kb)  |  收藏  |  浏览/下载：262/30  |  提交时间：2022/07/25
Multi-agent systems  Integrated game and control  Velocity constraint  Input saturation  Event-triggered communication  
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)  |  收藏  |  浏览/下载：311/43  |  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  
Distributed Nash equilibrium seeking for integrated game and control of multi-agent systems with input delay 期刊论文
NONLINEAR DYNAMICS, 2021, 卷号: 106, 页码: 583-603
作者:  Ai, Xiaolin
Adobe PDF(3382Kb)  |  收藏  |  浏览/下载：181/33  |  提交时间：2021/11/03
Nash equilibrium seeking  Integrated game and control  Multi-agent systems  Input delay  Input-to-stable stability  
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载：260/0  |  提交时间：2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution