The maxmin value of repeated games with incomplete information on one side and tail-measurable payoffs
Abstract
We study two-player zero-sum repeated games with incomplete information on one side, where the payoff function is tail measurable (and not necessarily the long-run average payoff). We show that the maxmin value equals the concavification of the value function of the non-revealing game. In addition, we provide an example demonstrating that, under tail-measurable payoffs, the value of the game may fail to exist.
Fields of Study & Subjects
Game Theory and Applications
Game Theory and Voting Systems
Experimental Behavioral Economics Studies
Publication details
- Journal / source
- Journal of Mathematical Economics
- Volume
- 123
- Pages
- 103214–103214
- Publication date
- 16 January 2026
- Language
- EN