Compared to existing works on distributed multi-agent game theory, algorithm A possesses three distinct advantages.\n\nFirstly, algorithm A incorporates a variable sample scale method to handle the interference caused by uncertain variables and suppress their impact on seeking Nash equilibrium.\n\nSecondly, algorithm A employs a scheme where agents estimate strategies for each group instead of estimating strategies for all players, as done in previous works. Thus, algorithm A significantly reduces the storage requirements for variables, decreasing from nn to np.\n\nThirdly, due to the fact that algorithm A's updates only require participation from local information and neighbor information, and there are no initialization requirements, it possesses sufficient flexibility and scalability, making it easy to implement and apply in various settings.

学术翻译:算法A在分布式多联盟博弈中的三重优势

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