资源论文nash equilibria in concurrent games with lexicographic preferences

nash equilibria in concurrent games with lexicographic preferences

2019-11-04 | |  114 |   75 |   0
Abstract We study concurrent games with finite-memory strategies where players are given a Bu?chi and a mean-payoff objective, which are related by a lexicographic order: a player first prefers to satisfy its Bu?chi objective, and then prefers to minimise costs, which are given by a mean-payoff function. In particular, we show that deciding the existence of a strict Nash equilibrium in such games is decidable, even if players’ deviations are implemented as infinite memory strategies.

上一篇:efficient inference and computation of optimal alternatives for preference languages based on lexicographic models

下一篇:symbolic priors for rnn based semantic parsing

用户评价
全部评价

热门资源

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Shape-based Autom...

    We present an algorithm for automatic detection...

  • Joint Pose and Ex...

    Facial expression recognition (FER) is a challe...

  • Bounding the Inef...

    Social networks on the Internet have seen an en...