%0 Conference Paper %1 conf/iv/GrossKGSHG22 %A Groß, David %A Klauck, Michaela %A Gros, Timo P. %A Steinmetz, Marcel %A Hoffmann, Jörg %A Gumhold, Stefan %B IV %D 2022 %E Banissi, Ebad %E Ursyn, Anna %E Bannatyne, Mark W. McK. %E Pires, João Moura %E Datia, Nuno %E Nazemi, Kawa %E Kovalerchuk, Boris %E Andonie, Razvan %E Nakayama, Minoru %E Sciarrone, Filippo %E Huang, Weidong %E Nguyen, Quang Vinh %E Mabakane, Mabule Samuel %E Rusu, Adrian %E Temperini, Marco %E Cvek, Urska %E Trutschl, Marjan %E Müller, Heimo %E Siirtola, Harri %E Woo, Wai Lok %E Francese, Rita %E Rossano, Veronica %E Mascio, Tania Di %E Bouali, Fatma %E Venturini, Gilles %E Kernbach, Sebastian %E Malandrino, Delfina %E Zaccagnino, Rocco %E Zhang, Jian J. %E Yang, Xiaosong %E Geroimenko, Vladimir %I IEEE %K dblp %P 1-10 %T Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack. %U http://dblp.uni-trier.de/db/conf/iv/iv2022.html#GrossKGSHG22 %@ 978-1-6654-9007-8

@inproceedings{conf/iv/GrossKGSHG22, added-at = {2023-02-08T00:00:00.000+0100}, author = {Groß, David and Klauck, Michaela and Gros, Timo P. and Steinmetz, Marcel and Hoffmann, Jörg and Gumhold, Stefan}, biburl = {https://www.bibsonomy.org/bibtex/2922a42225c3dd6fd5422e427f633b58f/dblp}, booktitle = {IV}, crossref = {conf/iv/2022}, editor = {Banissi, Ebad and Ursyn, Anna and Bannatyne, Mark W. McK. and Pires, João Moura and Datia, Nuno and Nazemi, Kawa and Kovalerchuk, Boris and Andonie, Razvan and Nakayama, Minoru and Sciarrone, Filippo and Huang, Weidong and Nguyen, Quang Vinh and Mabakane, Mabule Samuel and Rusu, Adrian and Temperini, Marco and Cvek, Urska and Trutschl, Marjan and Müller, Heimo and Siirtola, Harri and Woo, Wai Lok and Francese, Rita and Rossano, Veronica and Mascio, Tania Di and Bouali, Fatma and Venturini, Gilles and Kernbach, Sebastian and Malandrino, Delfina and Zaccagnino, Rocco and Zhang, Jian J. and Yang, Xiaosong and Geroimenko, Vladimir}, ee = {https://doi.org/10.1109/IV56949.2022.00011}, interhash = {1fced8d782eff0ffce17250aee3aa8f6}, intrahash = {922a42225c3dd6fd5422e427f633b58f}, isbn = {978-1-6654-9007-8}, keywords = {dblp}, pages = {1-10}, publisher = {IEEE}, timestamp = {2024-04-09T13:24:26.000+0200}, title = {Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack.}, url = {http://dblp.uni-trier.de/db/conf/iv/iv2022.html#GrossKGSHG22}, year = 2022 }