Reinforcement learning produces dominant strategies for the Iterated Prisoner's Dilemma.

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...

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Bibliographic Details
Main Authors: Marc Harper, Vincent Knight, Martin Jones, Georgios Koutsovoulos, Nikoleta E Glynatsi, Owen Campbell
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5724862?pdf=render

Internet

http://europepmc.org/articles/PMC5724862?pdf=render

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