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Article
Multidisciplinary Sciences
Dense reinforcement learning for safety validation of autonomous vehicles
Shuo Feng et al.
Summary: A critical bottleneck for autonomous vehicle development and deployment is the high costs required to validate safety in real-world driving. Researchers have developed an intelligent testing environment using AI-based agents to accelerate the safety validation process without bias. Their approach reduces testing time by orders of magnitude and can also be applied to other safety-critical autonomous systems.
NATURE (2023)
Article
Computer Science, Artificial Intelligence
Mind the gaps: Assuring the safety of autonomous systems from an engineering, ethical, and legal perspective
Simon Burton et al.
ARTIFICIAL INTELLIGENCE (2020)