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--- rudolph:cig_new [2021-06-24 16:46]
Marco Pleines [Games for Computational Intelligence Research]
+++ rudolph:cig_new [2022-05-09 13:12]
Marco Pleines
@@ Line 17: / Line 17: @@
 ===== Research Context =====
-    * Genetic and Evolutionary Algortihms
+    * Deep Reinforcement Learning
-    * Reinforcement Learning
     * Procedural Content Generation
     * Generative Models
@@ Line 27: / Line 26: @@
   * [[staff:rudolph|Prof. Dr. Günter Rudolph]]
   * [[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) =====
+Anybody who is interested in writing her or his thesis under the guidance of the above listed contacts has to submit a well written (not perfect) exposé. The exposé has to be made up of the following items:
+  * 2-3 DIN A4 pages
+  * Content
+    * Context of the thesis
+    * Goal and scope of the thesis
+    * Problems and challenges to be faced
+    * Relevance of conducting the thesis
+    * Initial approach
+  * Preliminary outline of the thesis
+  * Preliminary list of literature
+Depending on the current interest rate, submitted exposés can be improved for a few iterations until it is good enough for the proposed thesis to be accepted and advised by us. __Note that we cannot guarantee a spot under our guidance beforehand__, because the demand of writing a thesis at our chair is usually much greater than our capacity.
+=== Bachelor Theses ===
+== 2022 ==
+  * Marcel Schyma. Kontextunabhängige prozedurale Szenen- und Inhaltsgenerierungen.\\ Advirosrs: Rudolph, Pleines
+  * Leon Swazinna. Evaluation of the MA-POCA Algorithm in a Competitive Reinforcement Learning Environment.\\ Advisors: Rudolph, Pleines.
+== 2021 ==
+  * Alisa Gromova: Training Multiple Agents in a Soccer Environment using Deep Reinforcement Learning and Self-Play.\\ Advisors: Rudolph, Pleines.
+  * Markus Grigull: Sim-to-Real Transfer eines Reinforcement Learning Ansatzes zur mechanischen Steuerung eines Gamepads.\\ Advisors: Rudolph, Pleines.
+== 2020 ==
+  * Matthias Pallasch. Curiosity-driven Exploration mit Reinforcement Learning in einer CoinRun Umwelt.\\ Advisors: Rudolph, Pleines.
+  * Vanessa Speeth. Entwicklung eines Agenten für das Spiel Azul basierend auf dem Advanced-Actor-Critc Ansatz.\\ Advisors: Rudolph, Pleines.
+  * Wentao Li. Applying Curriculum and Reinforcement Learning to a Marble Labyrinth Environment.\\ Advisors: Rudolph, Pleines.
+== 2019 ==
+  * Till Musshoff. Vergleich der Lersperformanz von Proximal Policy Optimization und Behavioral Cloning.\\ Advisors: Rudolph, Pleines.
+  * Marius Brinkmann. Evaluation der Reinforcement Learning-Algorithmen DQN und PPO in einer Ballwurf-Umwelt.\\ Advisors: Rudolph, Pleines.
+=== Master Theses ===
+== 2022 ==
+  * (WIP) Marcel Schyma. Kontextunabhängige prozedurale Szenen- und Inhaltsgenerierung.\\ Advisors: Rudolph, Pleines.
+== 2021 ==
+  * Jonas Schumacher: Deep Reinforcement Learning für Stichspiele mit imperfekter Information / Deep Reinforcement Learning for Trick-Taking Games with Imperfect Information.\\ Advisors: Rudolph, Pleines.
+===== Teaching =====
+==== Fachprojekt (technical project) Digital Entertainment Technologies ====
+  * [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ws_21_22|WiSe 2021/2022]]
+    * Teacher: Patrick Dinklage
+  * [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ss_21|SoSe 2021]]
+    * Teacher: Patrick Dinklage
+  * [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ws20_21|WiSe 2020/2021]]
+    * Teacher: Marco Pleines
+  * [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ss20|SoSe 2020]]
+    * Teacher: Marco Pleines
+  * [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ws19_20|WiSe 2019/2020]]
+    * Teacher: Marco Pleines
+  * [[https://ls11-www.cs.tu-dortmund.de/de/rudolph/lehre/fp_det_ss19|SoSe 2019]]
+    * Teacher: Marco Pleines
+==== 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]]
@@ Line 85: / Line 185: @@
   * [[https://github.com/Nordeus/heroic-rl|Heroic Magic Duel]]
   * [[https://github.com/MiscellaneousStuff/pylol|League of Legends]]
-===== Publications =====
-=== Journal Articles ===
+  * [[https://pypi.org/project/catanatron/|Catan]]
-=== Conference Articles (peer reviewed) ===
-=== Technical Reports ===
+  * [[https://sites.google.com/view/arena-unity/home/learning-environments|Arena]]
-=== Demonstration Articles ===
+  * [[https://github.com/LucasAlegre/sumo-rl|Traffic Control]]
-===== Teaching =====
+  * [[https://github.com/apigott/CityLearn|CityLearn]]
-=== Completed Project Groups ===
-=== 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 =====

Chair 11

Teaching

Research Groups

Differences