Finding pure Nash equilibria in large random games
<|reference_start|>Finding pure Nash equilibria in large random games: Best Response Dynamics (BRD) is a class of strategy updating rules to find Pure Nash Equilibria (PNE) in a game. At each step, a player is randomly picked, and the player switches to a "best response" strategy based on the strategies chosen by others, so that the new strategy profile maximises their payoff. If no such strategy exists, a different player will be chosen randomly. When no player wants to change their strategy anymore, the process reaches a PNE and will not deviate from it. On the other hand, either PNE may not exist, or BRD could be "trapped" within a subgame that has no PNE. We consider a random game with $N$ players, each with two actions available, and i.i.d. payoffs, in which the payoff distribution may have an atom, i.e. ties are allowed. We study a class of random walks in a random medium on the $N$-dimensional hypercube induced by the random game. The medium contains two types of obstacles corresponding to PNE and traps. The class of processes we analyze includes BRD, simple random walks on the hypercube, and many other nearest neighbour processes. We prove that, with high probability, these processes reach a PNE before hitting any trap.<|reference_end|>
@article{collevecchio2024finding,
    title={Finding pure Nash equilibria in large random games},
    author={Andrea Collevecchio, Tuan-Minh Nguyen, Ziwen Zhong},
    journal={arXiv preprint arXiv:2406.09732},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.09732},
    primaryClass={math.PR cs.GT econ.TH}
}