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rudolph:cig_new [2020-02-11 10:05] |
rudolph:cig_new [2021-10-27 15:41] Marco Pleines [Theses (Abschlussarbeiten)] |
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| ===== Research Context ===== | ===== Research Context ===== | ||
| - | * Genetic and Evolutionary Algortihms | + | * Deep Reinforcement Learning |
| - | * Reinforcement Learning | + | |
| * Procedural Content Generation | * Procedural Content Generation | ||
| * Generative Models | * Generative Models | ||
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| * [[staff:rudolph|Prof. Dr. Günter Rudolph]] | * [[staff:rudolph|Prof. Dr. Günter Rudolph]] | ||
| * [[staff:pleines|Marco Pleines]] | * [[staff:pleines|Marco Pleines]] | ||
| + | * [[staff:nicolas_fischoeder|Nicolas Fischöder]] | ||
| - | ===== Games for Computational Intelligence Research ===== | + | ===== 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. | ||
| + | |||
| + | === 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 | ||
| + | ===== Theses (Abschlussarbeiten) ===== | ||
| + | |||
| + | === Bachelor Theses === | ||
| + | |||
| + | == 2021 == | ||
| + | |||
| + | * Alisa Gromova: Training Multiple Agents in a Soccer Environment using Deep Reinforcement Learning.\\ Advisors: Rudolph, Pleines. | ||
| + | |||
| + | Learning and Self-Play | ||
| + | |||
| + | == 2020 == | ||
| + | |||
| + | == 2019 == | ||
| + | |||
| + | === Master Theses === | ||
| + | |||
| + | == 2021 == | ||
| + | |||
| + | * Jonas Schumacher: Deep Reinforcement Learning für Stichspiele mit imperfekter Information / Deep Reinforcement Learning for Trick-Taking Games with Imperfect Information.\\ Advisors: Rudolph, Pleines. | ||
| + | |||
| + | == 2020 == | ||
| + | |||
| + | == 2019 == | ||
| + | |||
| + | |||
| + | |||
| + | ===== Teaching ===== | ||
| + | |||
| + | ==== Fachprojekt (technical project) Digital Entertainment Technologies ==== | ||
| + | |||
| + | |||
| + | |||
| + | ==== Project Groups ==== | ||
| + | |||
| + | === PG 642: Verteiltes Deep Reinforcement Learning System zum Trainieren von Game AI === | ||
| + | |||
| + | The goal of this project group is to train agents to play Rocket League using a distributed Deep Reinforcement Learning system. | ||
| + | Training directly on Rocket League comes with many issues. Therefore, the game is reimplemented in Unity. | ||
| + | This raises the challenge of transferring the learned behavior in Unity to Rocket League, which is called a sim-to-sim transfer. | ||
| + | As this project is still ongoing, there are no outcomes to be presented yet. | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | |||
| + | ===== Links ===== | ||
| + | |||
| + | ==== Games for Computational Intelligence Research ==== | ||
| + | * [[https://github.com/Baekalfen/PyBoy|PyBoy]] | ||
| + | | ||
| * [[https://dockhorn.antares.uberspace.de/wordpress/|Blizzard Hearthstone]] [[https://hearthsim.info/|HearthSim]] | * [[https://dockhorn.antares.uberspace.de/wordpress/|Blizzard Hearthstone]] [[https://hearthsim.info/|HearthSim]] | ||
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| * [[https://github.com/elvisyjlin/lf2gym|Little Fighter 2]] | * [[https://github.com/elvisyjlin/lf2gym|Little Fighter 2]] | ||
| - | ===== Publications ===== | ||
| - | === Journal Articles === | + | * [[https://github.com/vladfi1/gym-dolphin|GameCube and Wii Games]] |
| - | + | ||
| - | === Conference Articles (peer reviewed) === | + | |
| - | === Technical Reports === | + | * [[https://github.com/Nordeus/heroic-rl|Heroic Magic Duel]] |
| - | === Demonstration Articles === | + | * [[https://github.com/MiscellaneousStuff/pylol|League of Legends]] |
| - | ===== Teaching ===== | + | * [[https://pypi.org/project/catanatron/|Catan]] |
| - | === Completed Project Groups === | + | * [[https://sites.google.com/view/arena-unity/home/learning-environments|Arena]] |
| - | + | ||
| - | === Current Project Group === | + | |
| - | + | ||
| - | === Current Diploma Theses === | + | |
| - | + | ||
| - | + | ||
| - | === Completed Diploma Theses === | + | |
| - | + | ||
| - | + | ||
| - | === Current Master Theses === | + | |
| - | + | ||
| - | === Completed Master Theses === | + | |
| - | + | ||
| - | === Current Bachelor Theses === | + | |
| - | + | ||
| - | === Completed Bachelor Theses === | + | |
| - | + | ||
| - | === Completed Seminar === | + | |
| - | + | ||
| - | ===== Project Groups ===== | + | |
| - | + | ||
| - | === PG 511 === | + | |
| - | + | ||
| - | === PG 529 === | + | |
| - | + | ||
| - | == Stragotiator == | + | |
| - | + | ||
| - | ===== Fachprojekte (technical projects) Digital Entertainment Technologies ===== | + | |
| - | + | ||
| - | ===== Links ===== | + | |