自动化学报(英文版)2022,Vol.9Issue(5):763-783,21.DOI:10.1109/JAS.2022.105506
Cooperative and Competitive Multi-Agent Systems:From Optimization to Games
Cooperative and Competitive Multi-Agent Systems:From Optimization to Games
摘要
关键词
Cooperative games/counterfactual regret min-imization/distributed optimization/federated optimization/fictitious self-play/mean field games/multi-agent reinforcement learning/non-cooperative gamesKey words
Cooperative games/counterfactual regret min-imization/distributed optimization/federated optimization/fictitious self-play/mean field games/multi-agent reinforcement learning/non-cooperative games引用本文复制引用
Jianrui Wang,Yitian Hong,Jiali Wang,Jiapeng Xu,Yang Tang,Qing-Long Han,Jürgen Kurths..Cooperative and Competitive Multi-Agent Systems:From Optimization to Games[J].自动化学报(英文版),2022,9(5):763-783,21.基金项目
This work was supported in part by the National Natural Science Foundation of China(Basic Science Center Program:61988101),the Sino-German Center for Research Promotion(M-0066),the International(Regional)Cooperation and Exchange Project(61720106008),the Programme of Introducing Talents of Discipline to Universities(the 111 Project)(B17017),and the Program of Shanghai Academic Research Leader(20XD1401300). (Basic Science Center Program:61988101)