A hybrid deep reinforcement learning and optimal control architecture for autonomous highway driving

HIGHLIGHTS

• who: Nicola Albarella and colleagues from the Department of Information Technology and Electrical Engineering (DIETI), University of Naples Federico II have published the Article: A Hybrid Deep Reinforcement Learning and Optimal Control Architecture for Autonomous Highway Driving, in the Journal: Energies 2023, 16, 3490. of /2023/
• what: In this context the aim of this work is to design an effective hybrid two-layer path planning architecture that by exploiting the powerful tools offered by the emerging Deep Reinforcement Learning (DRL) in combination with model-based approaches lets the autonomous vehicles properly behave in different highway . . .
  

   

  

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