Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma

We present tournament results and several powerful strategies for the Iterated Prisoner’s Dilemma created using reinforcement learning techniques (evolutionary and particle swarm algorithms). These strategies are trained to perform well against a corpus of over 170 distinct opponents, including many...

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Detalles Bibliográficos
Autores principales: Harper, Marc, Knight, Vincent, Jones, Martin, Koutsovoulos, Georgios, Glynatsi, Nikoleta E., Campbell, Owen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724862/
https://www.ncbi.nlm.nih.gov/pubmed/29228001
http://dx.doi.org/10.1371/journal.pone.0188046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724862/
https://www.ncbi.nlm.nih.gov/pubmed/29228001
http://dx.doi.org/10.1371/journal.pone.0188046

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