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Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation
Wendong Li, Jochen Garcke
Robot crowd navigation requires safe and efficient decision-making under dense, dynamic, and multimodal human--robot interactions. Existing reinforcement-learning methods typically…
Density-Aware Farthest Point Sampling
Paolo Climaco, Jochen Garcke
We focus on training machine learning regression models in scenarios where the availability of labeled training data is limited due to computational constraints or high labeling co…
On minimizing the training set fill distance in machine learning regression
Paolo Climaco, Jochen Garcke
For regression tasks one often leverages large datasets for training predictive machine learning models. However, using large datasets may not be feasible due to computational limi…
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte +1
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively rece…