%0 Conference Paper %1 conf/ifip5-5/AntonelliA23 %A Antonelli, Dario %A Aliev, Khurshid %B PRO-VE %D 2023 %E Camarinha-Matos, Luis M. %E Boucher, Xavier %E Ortiz, Ángel %I Springer %K dblp %P 317-327 %T Using Adversarial Reinforcement Learning to Improve the Resilience of Human-Robot Collaboration in Industrial Assembly. %U http://dblp.uni-trier.de/db/conf/ifip5-5/prove2023.html#AntonelliA23 %V 688 %@ 978-3-031-42622-3

@inproceedings{conf/ifip5-5/AntonelliA23, added-at = {2023-09-21T00:00:00.000+0200}, author = {Antonelli, Dario and Aliev, Khurshid}, biburl = {https://www.bibsonomy.org/bibtex/2110e8e40dba687e20669958ee96a4639/dblp}, booktitle = {PRO-VE}, crossref = {conf/ifip5-5/2023}, editor = {Camarinha-Matos, Luis M. and Boucher, Xavier and Ortiz, Ángel}, ee = {https://doi.org/10.1007/978-3-031-42622-3_22}, interhash = {d3130fc7075f190cc8a07765c04b4493}, intrahash = {110e8e40dba687e20669958ee96a4639}, isbn = {978-3-031-42622-3}, keywords = {dblp}, pages = {317-327}, publisher = {Springer}, series = {IFIP Advances in Information and Communication Technology}, timestamp = {2024-04-09T23:28:42.000+0200}, title = {Using Adversarial Reinforcement Learning to Improve the Resilience of Human-Robot Collaboration in Industrial Assembly.}, url = {http://dblp.uni-trier.de/db/conf/ifip5-5/prove2023.html#AntonelliA23}, volume = 688, year = 2023 }