Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. Selmonaj, A., Szehr, O., Rio, G. D., Antonucci, A., Schneider, A., & Rüegsegger, M. In ICMLA, pages 1031-1038, 2023. IEEE.
Link
Paper bibtex @inproceedings{conf/icmla/SelmonajSRASR23,
added-at = {2024-04-02T00:00:00.000+0200},
author = {Selmonaj, Ardian and Szehr, Oleg and Rio, Giacomo Del and Antonucci, Alessandro and Schneider, Adrian and Rüegsegger, Michael},
biburl = {https://www.bibsonomy.org/bibtex/22da887d3dc3c11b5e15fc5b5f4076fff/dblp},
booktitle = {ICMLA},
crossref = {conf/icmla/2023},
ee = {https://doi.org/10.1109/ICMLA58977.2023.00153},
interhash = {f3608eb0c8be144064a5a492bc2db174},
intrahash = {2da887d3dc3c11b5e15fc5b5f4076fff},
isbn = {979-8-3503-4534-6},
keywords = {dblp},
pages = {1031-1038},
publisher = {IEEE},
timestamp = {2024-04-09T11:55:04.000+0200},
title = {Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.},
url = {http://dblp.uni-trier.de/db/conf/icmla/icmla2023.html#SelmonajSRASR23},
year = 2023
}
Downloads: 0
{"_id":"6AbafcKeoWmRAnYMA","bibbaseid":"selmonaj-szehr-rio-antonucci-schneider-regsegger-hierarchicalmultiagentreinforcementlearningforaircombatmaneuvering-2023","author_short":["Selmonaj, A.","Szehr, O.","Rio, G. D.","Antonucci, A.","Schneider, A.","Rüegsegger, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","added-at":"2024-04-02T00:00:00.000+0200","author":[{"propositions":[],"lastnames":["Selmonaj"],"firstnames":["Ardian"],"suffixes":[]},{"propositions":[],"lastnames":["Szehr"],"firstnames":["Oleg"],"suffixes":[]},{"propositions":[],"lastnames":["Rio"],"firstnames":["Giacomo","Del"],"suffixes":[]},{"propositions":[],"lastnames":["Antonucci"],"firstnames":["Alessandro"],"suffixes":[]},{"propositions":[],"lastnames":["Schneider"],"firstnames":["Adrian"],"suffixes":[]},{"propositions":[],"lastnames":["Rüegsegger"],"firstnames":["Michael"],"suffixes":[]}],"biburl":"https://www.bibsonomy.org/bibtex/22da887d3dc3c11b5e15fc5b5f4076fff/dblp","booktitle":"ICMLA","crossref":"conf/icmla/2023","ee":"https://doi.org/10.1109/ICMLA58977.2023.00153","interhash":"f3608eb0c8be144064a5a492bc2db174","intrahash":"2da887d3dc3c11b5e15fc5b5f4076fff","isbn":"979-8-3503-4534-6","keywords":"dblp","pages":"1031-1038","publisher":"IEEE","timestamp":"2024-04-09T11:55:04.000+0200","title":"Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.","url":"http://dblp.uni-trier.de/db/conf/icmla/icmla2023.html#SelmonajSRASR23","year":"2023","bibtex":"@inproceedings{conf/icmla/SelmonajSRASR23,\n added-at = {2024-04-02T00:00:00.000+0200},\n author = {Selmonaj, Ardian and Szehr, Oleg and Rio, Giacomo Del and Antonucci, Alessandro and Schneider, Adrian and Rüegsegger, Michael},\n biburl = {https://www.bibsonomy.org/bibtex/22da887d3dc3c11b5e15fc5b5f4076fff/dblp},\n booktitle = {ICMLA},\n crossref = {conf/icmla/2023},\n ee = {https://doi.org/10.1109/ICMLA58977.2023.00153},\n interhash = {f3608eb0c8be144064a5a492bc2db174},\n intrahash = {2da887d3dc3c11b5e15fc5b5f4076fff},\n isbn = {979-8-3503-4534-6},\n keywords = {dblp},\n pages = {1031-1038},\n publisher = {IEEE},\n timestamp = {2024-04-09T11:55:04.000+0200},\n title = {Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.},\n url = {http://dblp.uni-trier.de/db/conf/icmla/icmla2023.html#SelmonajSRASR23},\n year = 2023\n}\n\n","author_short":["Selmonaj, A.","Szehr, O.","Rio, G. D.","Antonucci, A.","Schneider, A.","Rüegsegger, M."],"key":"conf/icmla/SelmonajSRASR23","id":"conf/icmla/SelmonajSRASR23","bibbaseid":"selmonaj-szehr-rio-antonucci-schneider-regsegger-hierarchicalmultiagentreinforcementlearningforaircombatmaneuvering-2023","role":"author","urls":{"Link":"https://doi.org/10.1109/ICMLA58977.2023.00153","Paper":"http://dblp.uni-trier.de/db/conf/icmla/icmla2023.html#SelmonajSRASR23"},"keyword":["dblp"],"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"inproceedings","biburl":"http://www.bibsonomy.org/bib/author/Adrian?items=1000","dataSources":["Btt3eqLNGrLCpALen"],"keywords":["dblp"],"search_terms":["hierarchical","multi","agent","reinforcement","learning","air","combat","maneuvering","selmonaj","szehr","rio","antonucci","schneider","rüegsegger"],"title":"Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.","year":2023}