Quentin Delfosse
Machine Learning Group, Computer Science Department, TU Darmstadt.
Hochschulstrasse 1, Room S1|03 077, 64289 Darmstadt, Germany
quentindelfosse.me
quentin (dot) delfosse (at) cs (dot) tu-darmstadt (dot) de
quentindelfosse.me
quentin (dot) delfosse (at) cs (dot) tu-darmstadt (dot) de
Meetings by appointment.
Mission. My research focuses on how Explainable Reinforcement Learning. I try to understand how knowledge is represented by agents that need to model and interact with their environments.
I am also a 3D printing enthusiast. Please find more info here.
Timeline.
2020 - now: | Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany |
2017 - 2019: | M.Sc. MoSIG in Computer Science at UGA Grenoble (Double Diploma), France |
2016 - 2019: | Dipl. Ing. in Computer Science at ENSIMAG Grenoble, France |
2014 - 2016: | Higher School Preparatory Class at Lycée Buffon Paris, France |
Projects.
Neural Plasticity for Deep RL
Allowing learning structure to embed high plasticity (with rationals) is crucial for dynamic RL environments.
Object Detection with Time Consistency
Using space-time consistency to better detect and understand objects.
Supervised Theses.
2021 | Siyao Chen, Comic Generation with Rational Generation Model, M.Sc. Thesis, co-supervision Arseny Skryagin |
2021 | Maximilian Otte, Creating Emojis with Generative Adversarial Neural Cellular Automata, M.Sc. Thesis, co-supervision Johannes Czech |
2021 | Julius Zimmermann, Evaluation and Showcasing of Rational Functions, M.Sc. Thesis, co-supervision Patrick Schramowski |
2020 | Patrick Vimr, Optimizing the analysis of Rational Networks applied to Deep Reinforcement Learning-Algorithms, B.Sc. Thesis |
Supervised Courses and Projects.
WS 2020/21 | Quentin Delfosse, Patrick Schramowski, Improving the Rational Activation Functions library, Bachelor Praktikum |