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.
Document Type: | Conference Proceeding |
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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): | Urheberrechtlich geschützt |