A Hybrid Decision-Making Framework for Autonomous Vehicles in Urban Environments Based on Multi-Agent Reinforcement Learning with Explainable AI

Autonomous vehicles (AVs) are expected to operate safely and efficiently in complex urban environments characterized by dynamic and uncertain elements such as pedestrians, cyclists and adverse weather. Although current neural network-based decision-making algorithms, fuzzy logic and reinforcement le...

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Bibliografische Detailangaben

Hauptverfasser:	Ameni Ellouze, Mohamed Karray, Mohamed Ksantini
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-01-01
Schriftenreihe:	Vehicles
Schlagworte:	autonomous vehicles complex urban environment hybrid decision MARL XAI CARLA simulator
Online-Zugang:	https://www.mdpi.com/2624-8921/8/1/8
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