Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making

Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all circumstances remains a formidable challenge in practical applications. Current RL methods are predominantly dr...

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Veröffentlicht in:IEEE access 2024, Vol.12, p.128007-128023
Hauptverfasser: Gao, Fei, Wang, Xiaodong, Fan, Yuze, Gao, Zhenhai, Zhao, Rui
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Sprache:eng
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