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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5724862/ https://ncbi.nlm.nih.gov/pubmed/29228001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0188046 |
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