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Marco Pleines
Research Interests
- Deep Reinforcement Learning
- Generative Models
- Procedural Content Generation
Teaching (in German)
Lehrveranstaltungen
- Wintersemester 2020/2021
- Fachprojekt: Digital Entertainment Technologies
- Sommersemester 2020
- Fachprojekt: Digital Entertainment Technologies
- Wintersemester 2019/2020
- Fachprojekt: Digital Entertainment Technologies
- Sommersemester 2019
- Fachprojekt: Digital Entertainment Technologies
Publications
Conference Articles (peer reviewed)
2020
- Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer. Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. In CoG 2020 Proceedings, IEEE.
2019
- Marco Pleines, Frank Zimmer, Vincent-Pierre Berges. Action Spaces in Deep Reinforcement Learning to Mimic Human Input Devices. In CoG 2019 Proceedings, IEEE.
Book Chapters
2020
- Marco Pleines, Frank Zimmer, Jonathan Indetzki, Fabian Fritzsche, Timo Kahl. Reinforcement Learning auf dem Weg in die Industrie. In Digitale Produktion - Nutzenversprechen, Lösungsansätze, Soziale Fragen. Metropolis-Verlag.
Competitions
2019
- Marco Pleines, Mike Preuss, Jenia Jitsev, Frank Zimmer, Jonathan Indetzki. Rising to the Obstacle Tower Challenge. In CoG 2019 Short Video Competition, IEEE