Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task.
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%0 Journal Article
%1 journals/ijon/IshidaSSS09
%A Ishida, Fumihiko
%A Sasaki, Takahiro
%A Sakaguchi, Yutaka
%A Shimai, Hiroyuki
%D 2009
%J Neurocomputing
%K dblp
%N 7-9
%P 1979-1984
%T Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task.
%U http://dblp.uni-trier.de/db/journals/ijon/ijon72.html#IshidaSSS09
%V 72
@article{journals/ijon/IshidaSSS09,
added-at = {2019-09-25T00:00:00.000+0200},
author = {Ishida, Fumihiko and Sasaki, Takahiro and Sakaguchi, Yutaka and Shimai, Hiroyuki},
biburl = {https://www.bibsonomy.org/bibtex/297b52a3819111dfc6271f2c151f9f601/dblp},
ee = {https://doi.org/10.1016/j.neucom.2008.04.009},
interhash = {2a95f54e2731ff4d4a2330d6cadf7158},
intrahash = {97b52a3819111dfc6271f2c151f9f601},
journal = {Neurocomputing},
keywords = {dblp},
number = {7-9},
pages = {1979-1984},
timestamp = {2019-09-26T12:03:34.000+0200},
title = {Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task.},
url = {http://dblp.uni-trier.de/db/journals/ijon/ijon72.html#IshidaSSS09},
volume = 72,
year = 2009
}
