Drl-rnp: deep reinforcement learning-based optimized rnp flight procedure execution

HIGHLIGHTS

• who: Longtao Zhu et al. from the School of Aeronautics and Astronautics, Sichuan University, Chengdu, China have published the paper: DRL-RNP: Deep Reinforcement Learning-Based Optimized RNP Flight Procedure Execution, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: The authors proposed reinforcement learning (DRL)-based By conducting an approach the algorithm was implemented using a fixed-wing aircraft to explore a path of minimum fuel consumption with reward under windy conditions in compliance with the safety specifications. In this study, the DRL algorithm was proposed the first time for . . .
  

   

  

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