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  Relative Entropy Policy Search

Peters, J., Mülling, K., & Altun, Y. (2010). Relative Entropy Policy Search. In Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10) (pp. 1607-1612). Menlo Park, CA, USA: AAAI Press.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BF48-A Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BF49-8
Genre: Konferenzbeitrag

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 Urheber:
Peters, J1, 2, Autor           
Mülling, K1, Autor           
Altun, Y1, Autor           
Fox D. Poole, M., Herausgeber
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Schlagwörter: -
 Zusammenfassung: Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature convergence and implausible solutions. As first suggested in the context of covariant policy gradients (Bagnell and Schneider 2003), many of these problems may be addressed by constraining the information loss. In this paper, we continue this path of reasoning and suggest the Relative Entropy Policy Search (REPS) method. The resulting method differs significantly from previous policy gradient approaches and yields an exact update step. It works well on typical reinforcement learning benchmark problems.

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Sprache(n):
 Datum: 2010-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISBN: 978-1-577-35463-5
URI: http://www.aaai.org/Conferences/AAAI/aaai10.php
BibTex Citekey: 6439
 Art des Abschluß: -

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Titel: Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10)
Veranstaltungsort: Atlanta, GA, USA
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Titel: Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Menlo Park, CA, USA : AAAI Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1607 - 1612 Identifikator: -