Bronze Open Access
Green Open AccessA partially-observable markov decision process for dealing with dynamically changing environments
Date Issued
2014
Abstract
This paper offers a solution to the non-stationary POMDP problem, by making use of methods and concepts from the field of Bayesian non-parametrics, specifically dynamic hierarchical Dirichlet process priors. We combine block Gibbs sampling and importance sampling to perform inference. We evaluate the method in several benchmark policy learning tasks
Scopus Subject Areas
Information Systems
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Computer Networks and Communications
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Information Systems and Management