Improved twin delayed deep deterministic policy gradient algorithm based real-time trajectory planning for parafoil under complicated constraints

HIGHLIGHTS

  • who: Jiaming Yu and collaborators from the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China have published the Article: Improved Twin Delayed Deep Deterministic Policy Gradient Algorithm Based Real-Time Trajectory Planning for Parafoil under Complicated Constraints, in the Journal: (JOURNAL)
  • what: To enhance the performance the authors propose a new parafoil trajectory planning method on an The authors propose a real-time flight trajectory optimization method for a parafoil delivery system, which was based on an improved twin delayed deep deterministic policy gradient. To solve this problem, the authors propose . . .

     

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