Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments

Xu Xiao; Zhao Qing

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Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments

机译：多层系统中分布式无遗憾的学习：挑战和最近的发展

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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.

机译：博弈论是一种熟悉的学习自私球员之间互动的工具。在每个玩家的游戏组合的完整信息的假设下，游戏学研究的焦点一直在分析游戏结果和预测理性球员的战略行为方面进行了纳什均衡（NE）。

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《IEEE Signal Processing Magazine》 |2020年第3期|84-91|共8页
作者
Xu Xiao; Zhao Qing;
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Cornell Univ Elect & Comp Engn Ithaca NY 14850 USA;

Cornell Univ Engn Ithaca NY USA|Univ Calif Davis Elect & Comp Engn Dept Davis CA 95616 USA;

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1. Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines [J] . Neural Networks and Learning Systems, IEEE Transactions on . 2017,第3期

机译：通过极限学习机进行分布式多主体系统的顺序非线性学习
2. Neural Network-Based Distributed Cooperative Learning Control for Multiagent Systems via Event-Triggered Communication [J] . Neural Networks and Learning Systems, IEEE Transactions on . 2020,第2期

机译：基于事件触发通信的基于神经网络的多智能体分布式协作学习控制
3. Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach [J] . Deng Chao, Che Wei-Wei, Shi Peng Neural Networks and Learning Systems, IEEE Transactions on . 2020,第11期

机译：分布式学习控制方法的多算系统合作容错输出调节
4. No-regret learning and a mechanism for distributed multiagent planning [C] . Jan-P. Calliess, Geoffrey J. Gordon International joint conference on Autonomous agents and multiagent systems . 2008

机译：无悔学习和分布式多主体规划机制
5. Abstracting Systems Challenges from Distributed Deep Learning [D] . Or, Andrew. 2021

机译：抽象系统从分布式深度学习挑战
6. Distributed Cooperative Regulation for Multiagent Systems and Its Applications to Power Systems: A Survey [O] . Jianqiang Hu, Yaping Li, Taiyou Yong, -1

机译：多主体系统的分布式合作规章及其在电力系统中的应用：一项调查
7. No-Regret Learning and a Mechanism for Distributed Multiagent Planning [O] . Jan-P. Calliess, et al. 2008

机译：无遗憾学习与分布式多智能体规划机制
8. No-Regret Learning and a Mechanism for Distributed Multiagent Planning [R] . 2008

机译：无遗憾学习与分布式多智能体规划机制

Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments

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