Multi-Agent Reinforcement Learning: A Review of Challenges and Applications

In this review, we present an analysis of the most used multi-agent reinforcement learning algorithms. Starting with the single-agent reinforcement learning algorithms, we focus on the most critical issues that must be taken into account in their extension to multi-agent scenarios. The analyzed algo...

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Veröffentlicht in:	Applied sciences Jg. 11; H. 11; S. 4948
Hauptverfasser:	Canese, Lorenzo, Cardarilli, Gian Carlo, Di Nunzio, Luca, Fazzolari, Rocco, Giardino, Daniele, Re, Marco, Spanò, Sergio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2021
Schlagworte:	Algorithms Artificial intelligence Control theory Machine learning Markov analysis multi-agent reinforcement learning swarm
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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