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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Fei Gao, Xiaodong Wang, Yuze Fan, Zhenhai Gao, Rui Zhao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Autonomous driving constrained policy optimization reinforcement learning
Linkit:	https://ieeexplore.ieee.org/document/10664018/
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