%0 Conference Paper %1 conf/adprl/ElliottA14 %A Elliott, Daniel L. %A Anderson, Charles %B ADPRL %D 2014 %I IEEE %K dblp %P 1-8 %T Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning. %U http://dblp.uni-trier.de/db/conf/adprl/adprl2014.html#ElliottA14 %@ 978-1-4799-4553-5

@inproceedings{conf/adprl/ElliottA14, added-at = {2022-09-15T00:00:00.000+0200}, author = {Elliott, Daniel L. and Anderson, Charles}, biburl = {https://www.bibsonomy.org/bibtex/2f9844840855b1ba957af13826909e5ce/dblp}, booktitle = {ADPRL}, crossref = {conf/adprl/2014}, ee = {https://doi.org/10.1109/ADPRL.2014.7010640}, interhash = {c501c669256deebdcc5f45e46efcfd3c}, intrahash = {f9844840855b1ba957af13826909e5ce}, isbn = {978-1-4799-4553-5}, keywords = {dblp}, pages = {1-8}, publisher = {IEEE}, timestamp = {2024-04-10T09:15:21.000+0200}, title = {Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning.}, url = {http://dblp.uni-trier.de/db/conf/adprl/adprl2014.html#ElliottA14}, year = 2014 }