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Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments
IEEE Signal Processing Magazine ( IF 9.4 ) Pub Date : 2020-05-01 , DOI: 10.1109/msp.2020.2973963 Xiao Xu , Qing Zhao
IEEE Signal Processing Magazine ( IF 9.4 ) Pub Date : 2020-05-01 , DOI: 10.1109/msp.2020.2973963 Xiao Xu , Qing Zhao
Game theory is a well-established tool for studying interactions among self-interested players. Under the assumption of complete information on the game composition at each player, the focal point of game-theoretic studies has been on the Nash equilibrium (NE) in analyzing game outcomes and predicting strategic behaviors of rational players.
中文翻译:
多智能体系统中的分布式无悔学习:挑战和最新发展
博弈论是研究自利玩家之间互动的成熟工具。在关于每个玩家的博弈构成的完整信息的假设下,博弈论研究的重点是纳什均衡 (NE),用于分析博弈结果和预测理性玩家的战略行为。
更新日期:2020-05-01
中文翻译:
多智能体系统中的分布式无悔学习:挑战和最新发展
博弈论是研究自利玩家之间互动的成熟工具。在关于每个玩家的博弈构成的完整信息的假设下,博弈论研究的重点是纳什均衡 (NE),用于分析博弈结果和预测理性玩家的战略行为。