A deep reinforcement learning approach for the patrolling problem of water resources through autonomous surface vehicles: the ypacarai lake case

HIGHLIGHTS

• who: Ypacarai Lake Case and collaborators from the Department of Electronic Engineering, Technical School of Engineering, University of Seville, Sevilla, Spain have published the paper: A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case, in the Journal: (JOURNAL)
• what: The aim of the complete coverage problem is to obtain the minimal number of waypoints which guides the agent around the scenario by covering every single zone. In this analysis, with the best model parameters, both DQL and DDQL results for the homogeneous patrolling task . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.