%0 Thesis %1 dorr2021models %A Dörr, Andreas %C Stuttgart %D 2021 %K %R 10.18419/opus-11908 %T Models for data-efficient reinforcement learning on real-world applications

@phdthesis{dorr2021models, added-at = {2023-08-31T16:22:06.000+0200}, address = {Stuttgart}, author = {Dörr, Andreas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28a500d98ecbbe6b778aa89b680980a92/puma-wartung}, doi = {10.18419/opus-11908}, eventdate = {2021-10-07}, interhash = {5cecb7da316af42fac822536586ee900}, intrahash = {8a500d98ecbbe6b778aa89b680980a92}, keywords = {}, language = {eng}, school = {Universität Stuttgart}, supervisor = {Toussaint, Marc}, supervisorgnd = {122904869}, timestamp = {2023-08-31T14:22:06.000+0200}, title = {Models for data-efficient reinforcement learning on real-world applications}, type = {Dissertation}, year = 2021 }