%0 Journal Article %1 zhou2021learning %A Zhou, Zhehua %A Ögüz, Özgür Salih %A Leibold, Marion %A Buss, Martin %D 2021 %I IEEE %J IEEE transactions on neural networks and learning systems %K %N 5 %P 2513-2527 %R 10.1109/TNNLS.2021.3106818 %T Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems %V 34

@article{zhou2021learning, added-at = {2023-09-18T13:29:27.000+0200}, affiliation = {Zhou, ZH (Corresponding Author), Tech Univ Munich, Chair Automat Control Engn, D-80290 Munich, Germany. Zhou, Zhehua; Leibold, Marion; Buss, Martin, Tech Univ Munich, Chair Automat Control Engn, D-80290 Munich, Germany. Oguz, Ozgur S., Univ Stuttgart, Max Planck Inst Intelligent Syst, D-70569 Stuttgart, Germany.}, author = {Zhou, Zhehua and Ögüz, Özgür Salih and Leibold, Marion and Buss, Martin}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d0ebb477991b5846c3333e90d5985af7/unibiblio}, doi = {10.1109/TNNLS.2021.3106818}, interhash = {94871bc869c266725c32001f57c17e00}, intrahash = {d0ebb477991b5846c3333e90d5985af7}, issn = {{2162-237X} and {2162-2388}}, journal = {IEEE transactions on neural networks and learning systems}, keywords = {}, language = {eng}, number = 5, pages = { 2513-2527}, publisher = {IEEE}, research-areas = {Computer Science; Engineering}, timestamp = {2023-09-18T11:29:27.000+0200}, title = {Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems}, unique-id = {WOS:000733505000001}, volume = 34, year = 2021 }