Goal-directed learning of features and forward models

DOI10.1016/j.neunet.2009.06.049zbMath1335.68210OpenAlexW2003245772WikidataQ45874187 ScholiaQ45874187MaRDI QIDQ280351

Jochen Triesch, Sohrab Saeb, Cornelius Weber

Publication date: 10 May 2016

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.06.049

zbMATH Keywords

recurrent neural networkreinforcement learningfeature learningforward model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Planning and acting in partially observable stochastic domains
• The emergence of saliency and novelty responses from reinforcement learning principles
• Reinforcement learning of non-Markov decision processes
• The Optimal Control of Partially Observable Markov Processes over a Finite Horizon

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