Article

Exploring dominant strategies in iterated and evolutionary games: a multi-agent reinforcement learning approach

2024-11-26

Abstract excerpt

<title>Abstract</title> <p>Exploring dominant strategies in iterated games holds profound theoretical and practical significance across diverse domains. Previous studies, through mathematical analysis of limited cases, have unveiled classic strategies such as tit-for-tat, generous-tit-for-tat, win-stay-lose-shift, and zero-determinant strategies. While these strategies offer valuable insights into human decision-...

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Literature Corpus work: 23ddc155-037f-5b99-a6a3-f13080181044
DOI: 10.21203/rs.3.rs-5462150/v1

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