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Document type:
Konferenzbeitrag 
Contribution type:
Poster 
Author(s):
Feldmaier, Johannes; Diepold, Klaus 
Title:
Path-finding Using Reinforcement Learning and Affective States 
Pages contribution:
543 - 548 
Abstract:
During decision making and acting in the environment humans appraise decisions and observations with feelings and emotions. In this paper we propose a framework to incorporate an emotional model into the decision making process of a machine learning agent. We use a hierarchical structure to combine reinforcement learning with a dimensional emotional model. The dimensional model calculates two dimensions representing the actual affective state of the autonomous agent. For the evaluation of this c...    »
 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Editor:
IEEE 
Book / Congress title:
The 23rd IEEE International Symposium on Robot and Human Interactive Communication 
Date of congress:
25-29 Aug. 2014 
Year:
2014 
Month:
Aug 
Pages: