<div class="csl-bib-body">
<div class="csl-entry">Brunnbauer, A., Lemmel, J., Babaiee, Z., Neubauer, S., & Grosu, R. (2025). Scalable Offline Reinforcement Learning for Mean Field Games. In S. Das, A. Nowé, & Y. Vorobeychik (Eds.), <i>Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, {AAMAS} 2025, Detroit, MI, USA, May 19-23, 2025</i> (pp. 408–417). International Foundation for Autonomous Agents and Multiagent Systems. https://doi.org/10.5555/3709347.3743555</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/218186
-
dc.description
https://dl.acm.org/doi/10.5555/3709347.3743555
-
dc.language.iso
en
-
dc.subject
Reinforcement Learning
en
dc.subject
Mean Field Games
en
dc.subject
Offline Munchausen Mirror Descent
en
dc.title
Scalable Offline Reinforcement Learning for Mean Field Games
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
DatenVorsprung GmbH, Vienna, Austria
-
dc.contributor.editoraffiliation
Virginia Tech, United States of America (the)
-
dc.contributor.editoraffiliation
Vrije Universiteit Brussel, Belgium
-
dc.contributor.editoraffiliation
Washington University in St. Louis, United States of America (the)
-
dc.relation.isbn
979-8-4007-1426-9
-
dc.description.startpage
408
-
dc.description.endpage
417
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, {AAMAS} 2025, Detroit, MI, USA, May 19-23, 2025
-
tuw.peerreviewed
true
-
tuw.relation.publisher
International Foundation for Autonomous Agents and Multiagent Systems
-
tuw.relation.publisherplace
Richland, SC
-
tuw.researchTopic.id
I2
-
tuw.researchTopic.name
Computer Engineering and Software-Intensive Systems
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E191-01 - Forschungsbereich Cyber-Physical Systems
-
tuw.publication.orgunit
E056-17 - Fachbereich Trustworthy Autonomous Cyber-Physical Systems
-
tuw.publisher.doi
10.5555/3709347.3743555
-
dc.description.numberOfPages
10
-
tuw.author.orcid
0000-0002-8934-7355
-
tuw.author.orcid
0000-0002-3517-2860
-
tuw.author.orcid
0000-0002-8219-005X
-
tuw.author.orcid
0000-0001-5715-2142
-
tuw.editor.orcid
0000-0002-6814-871X
-
tuw.editor.orcid
0000-0003-2471-5345
-
tuw.event.name
24th International Conference on Autonomous Agents and Multiagent System (AAMAS 2025)
en
tuw.event.startdate
19-05-2025
-
tuw.event.enddate
23-05-2025
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Detroit
-
tuw.event.country
US
-
tuw.event.presenter
Brunnbauer, Axel
-
wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
-
wb.sciencebranch.oefos
2020
-
wb.sciencebranch.value
100
-
item.languageiso639-1
en
-
item.openairetype
conference paper
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.grantfulltext
none
-
item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems
-
crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems
-
crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems
-
crisitem.author.dept
E192-03 - Forschungsbereich Knowledge Based Systems
-
crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems
