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Distributed Inertial Best-Response Dynamics

机译:分布式惯性最佳响应动力学

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The note considers the problem of computing pure Nash equilibrium (NE) strategies in distributed (i.e., network-based) settings. The paper studies a class of inertial best-response dynamics based on the fictitious play (FP) algorithm. It is shown that inertial best-response dynamics are robust to informational limitations common in distributed settings. Fully distributed variants of FP with inertia and joint strategy FP (JSFP) with inertia are developed and convergence is proven to the set of pure NE. The distributed algorithms developed in the paper rely on consensus methods. Results are validated using numerical simulations.
机译:该注释考虑了在分布式(即基于网络)设置中计算纯Nash平衡(NE)策略的问题。本文研究了一种基于虚拟演算(FP)算法的惯性最佳响应动力学。结果表明,惯性最佳响应动力学对于分布式环境中常见的信息限制具有鲁棒性。开发了具有惯性的FP的全分布式变体和具有惯性的联合策略FP(JSFP),并证明了纯NE集的收敛性。本文开发的分布式算法依赖于共识方法。使用数值模拟验证结果。

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