Correctness-guaranteed strategy synthesis and compression for multi-agent autonomous systems

Planning is a critical function of multi-agent autonomous systems, which includes path finding and task scheduling. Exhaustive search-based methods such as model checking and algorithmic game theory can solve simple instances of multi-agent planning. However, these methods suffer from state-space ex...

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Veröffentlicht in:	Science of computer programming Jg. 224; S. 102894
Hauptverfasser:	Gu, Rong, Jensen, Peter G., Seceleanu, Cristina, Enoiu, Eduard, Lundqvist, Kristina
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2022
Schlagworte:	Multi-agent autonomous systems Planning Reinforcement learning Strategy compression Timed games Multi-agent autonomous systems Strategy compression Planning Reinforcement learning Timed games
ISSN:	0167-6423, 1872-7964, 1872-7964
Online-Zugang:	Volltext
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