%0 Conference Paper %1 conf/icmla/ChengR14 %A Cheng, Zhao %A Ray, Laura E. %B ICMLA %D 2014 %I IEEE %K dblp %P 105-110 %T State Abstraction in Reinforcement Learning by Eliminating Useless Dimensions. %U http://dblp.uni-trier.de/db/conf/icmla/icmla2014.html#ChengR14 %@ 978-1-4799-7415-3

@inproceedings{conf/icmla/ChengR14, added-at = {2020-09-05T00:00:00.000+0200}, author = {Cheng, Zhao and Ray, Laura E.}, biburl = {https://www.bibsonomy.org/bibtex/2d021bbba13f2c1b6b225f62788c87213/dblp}, booktitle = {ICMLA}, crossref = {conf/icmla/2014}, ee = {https://doi.org/10.1109/ICMLA.2014.22}, interhash = {1afa3dd1498a080a10eb0cc57dc98e89}, intrahash = {d021bbba13f2c1b6b225f62788c87213}, isbn = {978-1-4799-7415-3}, keywords = {dblp}, pages = {105-110}, publisher = {IEEE}, timestamp = {2020-09-09T13:55:09.000+0200}, title = {State Abstraction in Reinforcement Learning by Eliminating Useless Dimensions.}, url = {http://dblp.uni-trier.de/db/conf/icmla/icmla2014.html#ChengR14}, year = 2014 }