Reaching the limit in autonomous racing: Optimal control versus reinforcement learning

A central question in robotics is how to design a control system for an agile mobile robot. This paper studies this question systematically, focusing on a challenging setting: autonomous drone racing. We show that a neural network controller trained with reinforcement learning (RL) outperformed opti...

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Bibliographic Details

Published in:	Science robotics Vol. 8; no. 82; p. eadg1462
Main Authors:	Song, Yunlong, Romero, Angel, Müller, Matthias, Koltun, Vladlen, Scaramuzza, Davide
Format:	Journal Article
Language:	English
Published:	13.09.2023
ISSN:	2470-9476, 2470-9476
Online Access:	Get more information
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