Researchers develop algorithm for safer self-driving cars

In a promising development for self-driving car technology, a research team at NYU Tandon School of Engineering has unveiled an algorithm—known as Neurosymbolic Meta-Reinforcement Lookahead Learning (NUMERLA)—that could address the long-standing challenge of adapting to unpredictable real-world scenarios while maintaining safety.

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