|
DRAMA at the PettingZoo: Dynamically restricted action spaces for multi-agent reinforcement learning frameworks
Oesterle, Michael
;
Grams, Tim
;
Bartelt, Christian
|
URL:
|
https://hdl.handle.net/10125/107324
|
|
URN:
|
urn:nbn:de:bsz:180-madoc-674336
|
|
Dokumenttyp:
|
Konferenzveröffentlichung
|
|
Erscheinungsjahr:
|
2024
|
|
Buchtitel:
|
Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024
|
|
Seitenbereich:
|
7810-7819
|
|
Veranstaltungstitel:
|
HICSS 2024, 57th Hawaii International Conference on System Sciences
|
|
Veranstaltungsort:
|
Honolulu, HI
|
|
Veranstaltungsdatum:
|
03.-06.01.2024
|
|
Herausgeber:
|
Bui, Tung X.
|
|
Ort der Veröffentlichung:
|
Honolulu, HI
|
|
Verlag:
|
Department of IT-Management, Shidler College of Business, University of Hawaii
|
|
ISBN:
|
978-0-9981331-7-1
|
|
Sprache der Veröffentlichung:
|
Englisch
|
|
Einrichtung:
|
Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
|
|
Bereits vorhandene Lizenz:
|
 Creative Commons Namensnennung, nicht kommerziell, keine Bearbeitung 4.0 International (CC BY-NC-ND 4.0)
|
|
Fachgebiet:
|
004 Informatik
|
|
Freie Schlagwörter (Englisch):
|
multi-agent reinforcement learning , openAI gym , pettingzoo , multi-agent systems , action-space restriction
|
|
Abstract:
|
The Agent Environment Cycle (AEC) of PettingZoo has been a major paradigm shift in the implementation of Multi-Agent Reinforcement Learning (MARL) frameworks, providing a unified and concise interface for any kind of multi-agent environment. Based on this model, we propose DRAMA, a principled approach for dynamic action space restrictions. DRAMA can be used to add statically computed physical constraints as well as a self-learning multi-agent governance: It generalizes the idea of action masking to continuous action spaces and self-learning restrictions, while being fully compatible with the AEC implementation of PettingZoo—and, by transitivity, with most major MARL frameworks. In this paper, we provide the theoretical background of restricted multi-agent systems, present an extension of PettingZoo via wrapper classes, and show the potential of our approach for various use cases. By treating dynamic restrictions as an additional player of a multi-agent system, our approach offers novel capabilities and flexibility in handling multi-agent environments and thus serves as a valuable tool for researchers and practitioners in the field.
|
 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 | Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt. |
 Suche Autoren in
Sie haben einen Fehler gefunden? Teilen Sie uns Ihren Korrekturwunsch bitte hier mit: E-Mail
Actions (login required)
 |
Eintrag anzeigen |
|
|
![[img]](https://madoc.bib.uni-mannheim.de/style/images/fileicons/application_pdf.png)