Learning Optimal Strategies in a Duel Game

Angelos Gkekas, Athina Apostolidou, Artemis Vernadou and Athanasios Kehagias ()
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Angelos Gkekas: Department of Electronics and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Athina Apostolidou: Department of Electronics and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Artemis Vernadou: Department of Electronics and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Athanasios Kehagias: Department of Electronics and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Games, 2025, vol. 16, issue 1, 1-16

Abstract: We study a duel game in which each player has incomplete knowledge of the game parameters. We present a simple, heuristically motivated and easily implemented algorithm by which, in the course of repeated plays, each player estimates the missing parameters and consequently learns his optimal strategy.

Keywords: duel game; tree game; backward induction; incomplete information; learning (search for similar items in EconPapers)
JEL-codes: C C7 C70 C71 C72 C73 (search for similar items in EconPapers)
Date: 2025
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