Drl-rnp: deep reinforcement learning-based optimized

HIGHLIGHTS

• who: Execution. Sensors and collaborators from the School of Aeronautics and Astronautics, Sichuan University, Chengdu, China have published the research: DRL-RNP: Deep Reinforcement Learning-Based Optimized, in the Journal: Sensors 2022, 22, 6475. of /2022/
• what: The authors proposed deep reinforcement learning (DRL)-based By conducting an approach the DRL algo-rithm 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 optimizing the flight path . . .
  

   

  

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