LLNL computer scientists explore deep learning to improve efficiency of ride-hailing and autonomous electric vehicles

Tuesday, February 4, 2020 - 06:40 in Mathematics & Economics

Computer scientists at Lawrence Livermore National Laboratory are preparing the future of commuter traffic by applying Deep Reinforcement Learning -- the same kind of goal-driven algorithms that have defeated video game experts and world champions in the strategy game Go -- to determine the most efficient strategy for charging and driving electric vehicles used for ride-sharing services.

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