Conference paper
Heetmeyer, F., Paluch, M., Bolliger, D., Bolli, F., Deng,
X., Filicicchia, E., Delbruck, T.:
RPGD: A Small-Batch Parallel Gradient Descent Optimizer
with Explorative Resampling for Nonlinear Model
Predictive Control
2023 IEEE International Conference on Robotics and
Automation (ICRA)
05/2023
Graduation thesis
Small-Batch Gradient Optimizers for Stochastic Model
Predictive Control
Institute of Neuroinformatics UZH/ETH Zurich
07/2022 - 12/2022
Semester project
Application of Model Predictive Path Integral Control with
Recurrent Neural Network Architecture on the CartPole
Environment
Institute of Neuroinformatics UZH/ETH Zurich
03/2021 - 07/2021
Undergraduate thesis
Deep Reinforcement Learning for Evolutionary Computation
Application of Soft Actor-Critic to train an evolutionary
multi-parent recombination mechanism.
Policy formulation with normalizing flows.
Performance evaluation on select multi-objective
optimization benchmarks.
TUM Computer Vision Group
10/2019 - 04/2020
Visiting student research intern
Volume rendering using OpenGL and GPU ray casting.
O’Toole, M., Lindell, D. & Wetzstein, G. Confocal
non-line-of-sight imaging based on the light-cone
transform. Nature 555, 338–341 (2018).
https://doi.org/10.1038/nature25489
Stanford Computational Imaging Lab
06/2018 - 08/2018
Student research intern
Development on
Robot Designer, part of
Neurorobotics Platform.
Human Brain Project
TUM Chair of Robotics, Artificial Intelligence and
Real-time Systems
03/2018 - 06/2018
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