Learning Optimal Strategies in a Duel Game

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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Publication Details

Journal
Games
Published
2025-02-05
DOI
https://doi.org/10.3390/g16010008
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

Learning Optimal Strategies in a Duel Game

Athanasios Kehagias, Angelos Gkekas, Athina Apostolidou, Artemis Vernadou
Games
Reinforcement Learning in Robotics
article

Learning Optimal Strategies in a Duel Game

Athanasios Kehagias, Angelos Gkekas, Athina Apostolidou, Artemis Vernadou
article en

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.

GamesVol. 16(1)
Aristotle University of Thessaloniki (GR)
Openalex Percentile: Top 99%
Reinforcement Learning in Robotics
DOIOpen Access PDFOpenAlex
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Learning Optimal Strategies in a Duel Game — Athanasios Kehagias, Angelos Gkekas, et al. · Games (2025) | TGRS Research Map | TGRS