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!

Learn more

#award #research #seidl

Subscribe to RSS News feed

20.03.2026

MCML Reaches H-Index of 100

MCML reaches an h-index of 100, marking a milestone achieved through years of collaboration with LMU Munich, TUM, and research partners worldwide.

19.03.2026

Teaching Models to Say ‘I’m Not Sure’

Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.

12.03.2026

Frauke Kreuter becomes AAAS Fellow

MCML PI Frauke Kreuter has been elected a Fellow of the American Association for the Advancement of Science (AAAS).

12.03.2026

MCML Members Receive Best Paper Award at GOR 2026

Christoph Kern and Jan Simson received the Best Paper Award at the GOR 2026 Conference in Cologne together with Fiona Draxler and Samuel Mehr.

12.03.2026

MCML Members Receive Honourable Mention at CHI 2026

MCML PI Enkelejda Kasneci and MCML Junior Member Ka Hei Carrie Lau have received an Honourable Mention Award at CHI 2026 for their paper.

3rd Place at ACM SIGSPATIAL GisCup 2019

Optimizing the Spatio-Temporal Resource Search Problem With Reinforcement Learning

Related