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
©BAdW / Karl Neunert
08.12.2025
Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences
MCML JRG Leader Tom Sterkenburg receives the Karl-Heinz Hoffmann Prize of the BAdW for his interdisciplinary research.
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
World’s First Complete 3D Model of All Buildings Released
Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.
04.12.2025
When to Say "I’m Not Sure": Making Language Models More Self-Aware
ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.
28.11.2025
MCML at NeurIPS 2025
MCML researchers are represented with 47 papers at NeurIPS 2025 (38 Main, and 9 Workshops).
