mlsanityData to 14 Oct 2026

Payoff Control in the Iterated Prisoner's Dilemma

arXiv 1807.06666 ↗First posted 17 Jul 2018cs.GT cs.AI cs.MAcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Jul 2018.

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2 papers.