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| ==== Marco Pleines ==== | ==== Marco Pleines ==== | ||
| - | | Room: | 240| | + | | Room: | 237| |
| | Phone: | +49 231 755-7730 | | | Phone: | +49 231 755-7730 | | ||
| | E-Mail: | marco.pleines{{:staff:at.gif|}}tu-dortmund.de| | | E-Mail: | marco.pleines{{:staff:at.gif|}}tu-dortmund.de| | ||
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| ===== Research Interests ===== | ===== Research Interests ===== | ||
| + | |||
| * Deep Reinforcement Learning | * Deep Reinforcement Learning | ||
| - | * Game AI | + | * Generative Models |
| + | * Procedural Content Generation | ||
| ===== Teaching (in German) ===== | ===== Teaching (in German) ===== | ||
| - | == Lehrveranstaltung == | + | == Lehrveranstaltungen == |
| + | |||
| + | * **Wintersemester 2020/2021** | ||
| + | * Projektgruppe: Verteiltes Deep Reinforcement Learning System zum Trainieren von Game AI | ||
| + | |||
| + | * ** Sommersemester 2021** | ||
| + | * Projektgruppe: Verteiltes Deep Reinforcement Learning System zum Trainieren von Game AI | ||
| + | |||
| + | * **Wintersemester 2020/2021** | ||
| + | * Fachprojekt: [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ws20_21|Digital Entertainment Technologies]] | ||
| + | |||
| + | * **Sommersemester 2020** | ||
| + | * Fachprojekt: [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ss20|Digital Entertainment Technologies]] | ||
| + | |||
| + | * **Wintersemester 2019/2020** | ||
| + | * Fachprojekt: [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ws19_20|Digital Entertainment Technologies]] | ||
| * **Sommersemester 2019** | * **Sommersemester 2019** | ||
| * Fachprojekt: [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ss19|Digital Entertainment Technologies]] | * Fachprojekt: [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ss19|Digital Entertainment Technologies]] | ||
| + | |||
| + | ===== Publications ===== | ||
| + | |||
| + | === Conference Articles (peer reviewed) === | ||
| + | |||
| + | == 2020 == | ||
| + | |||
| + | * Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer. [[https://arxiv.org/abs/2004.00567|Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning]]. In CoG 2020 Proceedings, IEEE. Best Paper Candidate. | ||
| + | |||
| + | == 2019 == | ||
| + | |||
| + | * Marco Pleines, Frank Zimmer, Vincent-Pierre Berges. [[http://www.ieee-cog.org/papers/paper_22.pdf|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. [[https://www.metropolis-verlag.de/Digitale-Produktion/1413/book.do|Reinforcement Learning auf dem Weg in die Industrie]]. In Digitale Produktion - Nutzenversprechen, Lösungsansätze, Soziale Fragen. Torsten Niechoj (Ed.) & Alexander Klein (Ed.). Metropolis-Verlag. | ||
| + | * Marco Pleines. [[https://www.springer.com/de/book/9783658295615|Generative Adversarial Networks]]. In Interaktive Datenvisualisierung in Wissenschaft und Unternehmenspraxis. Frank Zimmer (Ed.) & Timo Kahl (Ed.). Springer-Verlag. | ||
| + | |||
| + | === Competitions === | ||
| + | |||
| + | == 2019 == | ||
| + | |||
| + | * Marco Pleines, Mike Preuss, Jenia Jitsev, Frank Zimmer, Jonathan Indetzki. [[https://youtu.be/P2rBDHBHxcM|Rising to the Obstacle Tower Challenge]]. In CoG 2019 Short Video Competition, IEEE | ||