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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Poster 
Autor(en):
Feldmaier, Johannes; Meyer, Dominik, Shen, Hao; Diepold, Klaus 
Titel:
Reinforcement Learning with Preferences 
Seitenangaben Beitrag:
143 - 147 
Abstract:
In this work, we propose a framework of learning with preferences, which combines some neurophysiological findings, prospect theory, and the classic reinforcement learning mechanism. Specifically, we extend the state representation of reinforcement learning with a multi-dimensional preference model controlled by an external state. This external state is designed to be independent from the reinforcement learning process so that it can be controlled by an external process simulating the knowled...    »
 
Stichworte:
Preference learning, prospect theory, affective state, reinforcement learning 
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften 
Kongress- / Buchtitel:
The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making 
Kongress / Zusatzinformationen:
Edmonton, Alberta, Canada 
Publikationsdatum:
09.06.2015 
Jahr:
2015 
Jahr / Monat:
2015-06 
Monat:
Jun 
Reviewed:
ja 
Sprache:
en 
Erscheinungsform:
WWW