Log-linear learning: Convergence in discrete and continuous strategy potential games

@article{Tatarenko2014LoglinearLC,
  title={Log-linear learning: Convergence in discrete and continuous strategy potential games},
  author={Tatiana Tatarenko},
  journal={53rd IEEE Conference on Decision and Control},
  year={2014},
  pages={426-432}
}
In this paper, we consider log-linear learning algorithm in potential games. This algorithm can be applied to solving cooperative control problems in multi-agent systems. We investigate the convergence properties of the log-linear learning algorithm in potential games with discrete and continuous strategy sets. So far, the convergence of this algorithm to some state in a potential game has been proven to be specified by a chosen parameter and does not imply the convergence in probability to… CONTINUE READING

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