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Melioration Learning in Two-Person Games
Melioration learning is an empirically well-grounded model of reinforcement learning. By means of computer simulations, this paper derives predictions for several repeatedly played two-person games from this model. The results indicate a likely convergence to a pure Nash equilibrium of the game. If...
Autor principal: | Zschache, Johannes |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112854/ https://www.ncbi.nlm.nih.gov/pubmed/27851815 http://dx.doi.org/10.1371/journal.pone.0166708 |
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