- Titel:
Decentralized multi-agent reinforcement learning based on best-response policies
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Gabler, Volker ; Wollherr, Dirk
- Stichworte:
- Robotics and AI ; multi-agent reinforcement learning ; game theory ; deep learning, artificial intelligence ; actor-critic algorithm ; multi-agent ; Stackelberg ; decentralized learning schemes ; reinforcement leaning
- Zeitschriftentitel:
- Frontiers in Robotics and AI
- Jahr:
- 2024
- Band / Volume:
- 11
- Volltext / DOI:
- doi:10.3389/frobt.2024.1229026
- Verlag / Institution:
- Frontiers Media S.A.
- E-ISSN:
- 2296-9144
- Publikationsdatum:
- 16.04.2024
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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