Learning optimal strategies in a duel game

Angelos Gkekas, Athina Apostolidou, Artemis Vernadou and Athanasios Kehagias

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.

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Year of publication:	2025
Authors:	Gkekas, Angelos ; Apostolidou, Athina ; Vernadou, Artemis ; Kehagias, Athanasios
Published in:	Games. - Basel : MDPI, ISSN 2073-4336, ZDB-ID 2527220-2. - Vol. 16.2025, 1, Art.-No. 8, p. 1-16
Subject:	duel game \| tree game \| backward induction \| incomplete information \| learning \| Spieltheorie \| Game theory \| Lernprozess \| Learning process \| Unvollkommene Information \| Incomplete information \| Lernen \| Learning

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.3390/g16010008 [DOI] hdl:10419/330122 [Handle]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015271702