Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation

30 April 2020

Papers citing "Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation"

6 / 6 papers shown

Title
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 45 27 0 15 Jun 2022
Curriculum Learning for Safe Mapless Navigation Luca Marzari Davide Corsi Enrico Marchesini Alessandro Farinelli 22 14 0 23 Dec 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 38 54 0 31 Aug 2021
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning M. Tran N. Ly 11 1 0 21 Dec 2020
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 234 809 0 13 Nov 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras Raul Mur-Artal Juan D. Tardós 204 5,375 0 20 Oct 2016