The emergence of saliency and novelty responses from reinforcement learning principles

DOI10.1016/J.NEUNET.2008.09.004zbMath1254.92026OpenAlexW2037766104WikidataQ41786796 ScholiaQ41786796MaRDI QIDQ1932120

Patryk A. Laurent

Publication date: 17 January 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2629355

zbMATH Keywords

reinforcement learningdopamineorientingnovelty responsereward-prediction error

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Biochemistry, molecular biology (92C40)

Related Items (2)

Goal-directed learning of features and forward models ⋮ DAPath: distance-aware knowledge graph reasoning based on deep reinforcement learning

This page was built for publication: The emergence of saliency and novelty responses from reinforcement learning principles