Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | Next revision Both sides next revision | ||
|
rudolph:cig_new [2021-10-27 15:32] Marco Pleines |
rudolph:cig_new [2021-10-27 15:33] Marco Pleines |
||
|---|---|---|---|
| Line 29: | Line 29: | ||
| * [[staff:nicolas_fischoeder|Nicolas Fischöder]] | * [[staff:nicolas_fischoeder|Nicolas Fischöder]] | ||
| - | ===== Games for Computational Intelligence Research ===== | + | ===== Publications ===== |
| + | |||
| + | |||
| + | |||
| + | === Journal Articles === | ||
| + | |||
| + | |||
| + | |||
| + | === Conference Articles (peer reviewed) === | ||
| + | |||
| + | |||
| + | |||
| + | |||
| + | ===== Theses (Abschlussarbeiten) ===== | ||
| + | |||
| + | === Master Theses === | ||
| + | |||
| + | === Bachelor Theses === | ||
| + | |||
| + | |||
| + | ===== 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://github.com/Baekalfen/PyBoy|PyBoy]] | ||
| Line 92: | Line 133: | ||
| * [[https://sites.google.com/view/arena-unity/home/learning-environments|Arena]] | * [[https://sites.google.com/view/arena-unity/home/learning-environments|Arena]] | ||
| - | ===== Publications ===== | ||
| - | |||
| - | === Journal Articles === | ||
| - | |||
| - | === Conference Articles (peer reviewed) === | ||
| - | |||
| - | === Technical Reports === | ||
| - | |||
| - | === Demonstration Articles === | ||
| - | |||
| - | ===== Theses (Abschlussarbeiten) ===== | ||
| - | |||
| - | === Master Theses === | ||
| - | |||
| - | === Bachelor Theses === | ||
| - | |||
| - | |||
| - | ===== 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 ===== | ||