k-Certainty Exploration Method: an action selector to identify the environment in reinforcement learning
type: Item
instance of: scholarly article
title: k-Certainty Exploration Method: an action selector to identify the environment in reinforcement learning
zbMATH Open document ID: 0906.68121
DOI: 10.1016/S0004-3702(96)00062-8
author: Kazuteru Miyazaki
author: Masayuki Yamamura
author: Shigenobu Kobayashi
published in: Artificial Intelligence
publication date: 1998-07-23T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1178758
zbMATH Keywords: reinforcement learning
zbMATH Keywords: \(Q\)-learning
zbMATH Keywords: Markov decision processes
zbMATH Keywords: policy iteration algorithm
zbMATH Keywords: \(k\)-certainty exploration method
MaRDI profile type: Publication
cites work: Extended monotropic programming and duality
cites work: Q3493272
cites work: The Complexity of Markov Decision Processes
cites work: Transfer of learning by composing solutions of elemental sequential tasks
description: scientific article; zbMATH DE number 1178758