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    Personalized Autonomous Braking for Electric Vehicles via Deep Reinforcement Learning and Learning From Demonstrations 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2026:;volume( 148 ):;issue:004:;page 463
    Author(s): Ahmed, Syed Adil; Kwak, Kyoung Hyun; Kim, Youngki
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This paper proposes an innovative reinforcement learning (RL)-based autonomous braking algorithm that can be personalizable for optimal one-pedal driving (OPD) of electric vehicles. To address the shortcomings ...
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