%0 Conference Paper %1 conf/gecco/0001UR19 %A Hein, Daniel %A Udluft, Steffen %A Runkler, Thomas A. %B GECCO (Companion) %D 2019 %E López-Ibáñez, Manuel %E Auger, Anne %E Stützle, Thomas %I ACM %K dblp %P 23-24 %T Generating interpretable reinforcement learning policies using genetic programming. %U http://dblp.uni-trier.de/db/conf/gecco/gecco2019c.html#0001UR19 %@ 978-1-4503-6748-6

@inproceedings{conf/gecco/0001UR19, added-at = {2021-09-23T00:00:00.000+0200}, author = {Hein, Daniel and Udluft, Steffen and Runkler, Thomas A.}, biburl = {https://www.bibsonomy.org/bibtex/22049490d668548f08af921af0db4e9a6/dblp}, booktitle = {GECCO (Companion)}, crossref = {conf/gecco/2019c}, editor = {López-Ibáñez, Manuel and Auger, Anne and Stützle, Thomas}, ee = {https://doi.org/10.1145/3319619.3326755}, interhash = {c5425d271abcab5f3c8f87f036fb0492}, intrahash = {2049490d668548f08af921af0db4e9a6}, isbn = {978-1-4503-6748-6}, keywords = {dblp}, pages = {23-24}, publisher = {ACM}, timestamp = {2024-04-10T16:30:06.000+0200}, title = {Generating interpretable reinforcement learning policies using genetic programming.}, url = {http://dblp.uni-trier.de/db/conf/gecco/gecco2019c.html#0001UR19}, year = 2019 }