Return to search

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 no pure equilibrium exists, the relative frequencies of choice may approach the predictions of the mixed Nash equilibrium. Yet in some games, no stable state is reached.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:15099
Date January 2016
CreatorsZschache, Johannes
ContributorsUniversität Leipzig
PublisherPublic Library of Science
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:article, info:eu-repo/semantics/article, doc-type:Text
SourcePLoS ONE 11(11): e0166708 doi:10.1371/journal.pone.0166708
Rightsinfo:eu-repo/semantics/openAccess

Page generated in 0.0027 seconds