Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains
type: Item
instance of: scholarly article
title: Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains
zbMATH Open document ID: 1405.68283
author: Luis C. Cobo
author: Kaushik Subramanian
author: Charles L. jun. Isbell
author: Aaron D. Lanterman
author: Andrea L. Thomaz
published in: Artificial Intelligence
publication date: 2014-10-13T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6354998
zbMATH Keywords: reinforcement learning
zbMATH Keywords: learning from demonstration
zbMATH Keywords: dimensionality reduction
zbMATH Keywords: function approximation
describes a project that uses: Scikit
describes a project that uses: C4.5
describes a project that uses: ML-KNN
MaRDI profile type: Publication
full work available at URL: j.artint.2014.07.003
OpenAlex ID: W1965568826
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cites work: ML-KNN: A lazy learning approach to multi-label learning
DOI: 10.1016/J.ARTINT.2014.07.003
description: scientific article; zbMATH DE number 6354998