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Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles.

Junior Costa de JesusVictor Augusto KichAlisson Henrique KollingRicardo Bedin GrandoRodrigo da Silva GuerraPaulo Lilles Jorge Drews Jr
Published in: CoRR (2022)
Keyphrases
  • reinforcement learning
  • unmanned aerial vehicles
  • depth information
  • machine learning
  • higher level
  • function approximation
  • real time
  • depth map
  • path planning
  • long range