Learning in games: a systematic review

RJ Qin, Y Yu - Science China Information Sciences, 2024 - Springer
Game theory studies the mathematical models for self-interested individuals. Nash
equilibrium is arguably the most central solution in game theory. While finding the Nash …

Offline Fictitious Self-Play for Competitive Games

J Chen, W **e, W Zhang, Y Wen - arxiv preprint arxiv:2403.00841, 2024 - arxiv.org
Offline Reinforcement Learning (RL) has received significant interest due to its ability to
improve policies in previously collected datasets without online interactions. Despite its …

群视角下的多智能体**化学**方法综述

项凤涛, 罗俊仁, 谷学**, 苏炯铭… - 智能科学与技术 …, 2023 - infocomm-journal.com
多智能体系统是分布式人工智能领域的前沿研究概念, 传统的多智能体**化学**方法主要聚焦
群体行为涌现, 多智能体合作与协调, 智能体间交流与通信, 对手建模与预测等主题 …

Exploiting Tree Structure in Empirical Game-Theoretic Analysis for Extensive-Form Games

C Konicki - 2024 - deepblue.lib.umich.edu
Many real-world multiplayer scenarios are too large or complex to be described and
analyzed with game theory. Empirical Game-Theoretic Analysis (EGTA) reasons about …

Offline PSRO with Max-Min Entropy for Multi-Player Imperfect Information Games

J Luo, W Zhang, M Zou, J Su… - 2022 China Automation …, 2022 - ieeexplore.ieee.org
Game theoretic learning for the blueprint strategy is the central topic of offline game solving.
Offline learning is one typical data-driven paradigm that learns from logged dataset. This …

[NAVOD][C] 面向智能博弈的决策 Transformer 方法综述

罗俊仁, 张万鹏, 苏炯铭, 王尧, 陈璟 - 指挥与控制学报, 2023