14.11.2019
3rd Place at ACM SIGSPATIAL GisCup 2019
Optimizing the Spatio-Temporal Resource Search Problem With Reinforcement Learning
Felix Borutta, Sebastian Schmoll and Sabrina Friedl won the 3rd Place at ACM SIGSPATIAL GisCup 2019 for their contribution "Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning".
Congrats from us!
Related
19.01.2026
MCML at AAAI 2026
MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).
19.01.2026
MCML PI Frauke Kreuter Featured on ARD Alpha on AI
MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.
15.01.2026
Blind Matching – Aligning Images and Text Without Training or Labels
CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.
12.01.2026
MCML PIs Featured in Süddeutsche Zeitung
MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.
