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The magmaOffenburg 2022 RoboCup 3D Simulation Team

  • Team description papers of magmaOffenburg are incremental in the sense that each year we address a different topic of our team and the tools around our team. In this year’s team description paper we address our approach to learn a model free kick with Nao toe using deep reinforcement learning.

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Metadaten
Document Type:Conference Proceeding
Conference Type:Sonstiges
Zitierlink: https://opus.hs-offenburg.de/7006
Bibliografische Angaben
Title (English):The magmaOffenburg 2022 RoboCup 3D Simulation Team
Conference:RoboCup 2022, 13-17 July 2022, Bangkok, Thailand
Author:Nico BohlingerGND, Hannes BraunStaff MemberGND, Klaus DorerStaff MemberORCiDGND, Lukas Ehlers, Danny Huber, Hannes Huber, Stefan GlaserStaff MemberGND, Rico SchillingsStaff MemberGND, Jannes Scholz, Maren Wolffram
Year of Publication:2022
Contributing Corporation:Hochschule Offenburg
Page Number:7
Parent Title (English):RoboCup Team Description Papers
URL:https://tdp.robocup.org/wp-content/uploads/tdp/robocup/2022/robocupsoccer-simulation-3d/magmaoffenburg-387/robocup-2022-robocupsoccer-simulation-3d-magmaoffenburg18PnbW4KNL.pdf
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Projekte / Magma Offenburg
Tag:RoboCup
Formale Angaben
Open Access: Open Access 
 Bronze 
Licence (German):License LogoUrheberrechtlich geschützt