Multi-agent deep reinforcement learning to manage connected autonomous vehicles at tomorrow’s intersections

HIGHLIGHTS

• who: Guillen-Perez Antonio and collaborators from the (UNIVERSITY) have published the research work: Multi-Agent Deep Reinforcement Learning to Manage Connected Autonomous Vehicles at Tomorrow's Intersections, in the Journal: (JOURNAL)
• what: The authors detail a new AIM system based on MADRL, called advanced Reinforced AIM (adv.RAIM), and its performance is extensively evaluated in a variety of realistic and complex scenarios. If the authors focus on traditional traffic light control (FT and iREDVD), for all metrics under study, adv.RAIM shows its superiority. If the authors compare the results obtained by adv.RAIM . . .
  

   

  

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