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.

MoreLess

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

freely available

Full text |

More access options

doi.org

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

subito order

I need help

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

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