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rudolph:cig_new [2021-10-27 15:40] Marco Pleines [Theses (Abschlussarbeiten)] |
rudolph:cig_new [2021-10-27 15:44] Marco Pleines [Theses (Abschlussarbeiten)] |
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| == 2021 == | == 2021 == | ||
| - | * Alisa Gromova. Training Multiple Agents in a Soccer Environment using Deep Reinforcement Learning.\\ Advisors: Rudolph, Pleines. | + | * Alisa Gromova: Training Multiple Agents in a Soccer Environment using Deep Reinforcement Learning.\\ Advisors: Rudolph, Pleines. |
| Learning and Self-Play | Learning and Self-Play | ||
| == 2020 == | == 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 == | == 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 === | === Master Theses === | ||
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| == 2021 == | == 2021 == | ||
| - | == 2020 == | + | * Jonas Schumacher: Deep Reinforcement Learning für Stichspiele mit imperfekter Information / Deep Reinforcement Learning for Trick-Taking Games with Imperfect Information.\\ Advisors: Rudolph, Pleines. |
| - | + | ||
| - | == 2019 == | + | |