A class of non homogeneous self interacting random processes with applications to learning in games and vertex-reinforced random walks

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dc.creatorBenaim, Michel
dc.creatorRaimond, Olivier
dc.date2008-06-04
dc.date.accessioned2026-07-07T12:19:21Z
dc.date.available2026-07-07T12:19:21Z
dc.descriptionUsing an approximation by a set-valued dynamical system, this paper studies a class of non Markovian and non homogeneous stochastic processes on a finite state space. It provides an unified approach to simulated annealing type processes. It permits to study new models of vertex reinforced random walks and new models of learning in games including Markovian fictitious play.
dc.identifierhttps://arxiv.org/abs/0806.0806
dc.identifierhttp://arxiv.org/abs/0806.0806
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212726
dc.subjectProbability
dc.titleA class of non homogeneous self interacting random processes with applications to learning in games and vertex-reinforced random walks
dc.typetext

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