2 papers
cs.LG2021
Quantifying Multimodality in World Models
Andreas Sedlmeier, Michael Kölle, Robert Müller +2
Model-based Deep Reinforcement Learning (RL) assumes the availability of a model of an environment's underlying transition dynamics. This model can be used to predict future effect…
eess.AS2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
Steffen Illium, Robert Müller, Andreas Sedlmeier +1
In many fields of research, labeled datasets are hard to acquire. This is where data augmentation promises to overcome the lack of training data in the context of neural network en…