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Reinforcement and Curriculum Learning for Off-Road Navigation of an UGV with a 3D LiDAR

This paper presents the use of deep Reinforcement Learning (RL) for autonomous navigation of an Unmanned Ground Vehicle (UGV) with an onboard three-dimensional (3D) Light Detection and Ranging (LiDAR) sensor in off-road environments. For training, both the robotic simulator Gazebo and the Curriculum...

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Bibliografiske detaljer
Principais autores: Manuel Sánchez, Jesús Morales, Jorge L. Martínez
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-03-01
Serier:Sensors
Fag:
Online adgang:https://www.mdpi.com/1424-8220/23/6/3239
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