Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations.
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%0 Journal Article
%1 journals/ki/BohmerSBRO15
%A Böhmer, Wendelin
%A Springenberg, Jost Tobias
%A Boedecker, Joschka
%A Riedmiller, Martin A.
%A Obermayer, Klaus
%D 2015
%J Künstliche Intell.
%K
%N 4
%P 353-362
%T Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations.
%U http://dblp.uni-trier.de/db/journals/ki/ki29.html#BohmerSBRO15
%V 29
@article{journals/ki/BohmerSBRO15,
added-at = {2023-12-13T01:36:30.000+0100},
author = {Böhmer, Wendelin and Springenberg, Jost Tobias and Boedecker, Joschka and Riedmiller, Martin A. and Obermayer, Klaus},
biburl = {https://www.bibsonomy.org/bibtex/2e6d088f029c37665a322538c5b3ffeab/admin},
ee = {https://doi.org/10.1007/s13218-015-0356-1},
interhash = {73e9bb4990c20a3043dab9b55ab8d6d9},
intrahash = {e6d088f029c37665a322538c5b3ffeab},
journal = {Künstliche Intell.},
keywords = {},
number = 4,
pages = {353-362},
timestamp = {2023-12-13T01:36:30.000+0100},
title = {Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations.},
url = {http://dblp.uni-trier.de/db/journals/ki/ki29.html#BohmerSBRO15},
volume = 29,
year = 2015
}