Improving algorithm conflict resolution manoeuvres with reinforcement learning

HIGHLIGHTS

  • who: Marta Ribeiro et al. from the Control and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg, HS Delft, The Netherlands have published the paper: Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning, in the Journal: Aerospace 2022, 9, 847. of /2022/
  • what: The authors propose a Soft Actor-Critic (SAC) model, as created by UC Berkeley , that trains within the airspace environment to find the optimal values for the calculation of a conflict resolution manoeuvre. The authors develop a hybrid_approach, combining the strengths of geometric methods and learning methods, and hopefully mitigating . . .

     

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