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Payoff Control in the Iterated Prisoner's Dilemma

2018-07-17 20:44:51
Dong Hao, Kai Li, Tao Zhou

Abstract

Repeated game has long been the touchstone model for agents' long-run relationships. Previous results suggest that it is particularly difficult for a repeated game player to exert an autocratic control on the payoffs since they are jointly determined by all participants. This work discovers that the scale of a player's capability to unilaterally influence the payoffs may have been much underestimated. Under the conventional iterated prisoner's dilemma, we develop a general framework for controlling the feasible region where the players' payoff pairs lie. A control strategy player is able to confine the payoff pairs in her objective region, as long as this region has feasible linear boundaries. With this framework, many well-known existing strategies can be categorized and various new strategies with nice properties can be further identified. We show that the control strategies perform well either in a tournament or against a human-like opponent.

Abstract (translated)

重复游戏一直是代理商长期关系的试金石模型。之前的结果表明,重复的游戏玩家特别难以对收益进行专制控制,因为它们是由所有参与者共同决定的。这项工作发现,玩家单方面影响收益的能力可能被低估了。在传统的迭代囚徒困境下,我们开发了一个控制球员收益对的可行区域的总体框架。只要该区域具有可行的线性边界,控制策略播放器就能够将支付对限制在其目标区域中。通过该框架,可以对许多众所周知的现有策略进行分类,并且可以进一步识别具有良好属性的各种新策略。我们表明,控制策略在锦标赛中或在类似人类的对手中表现良好。

URL

https://arxiv.org/abs/1807.06666

PDF

https://arxiv.org/pdf/1807.06666.pdf


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