04.11.2019
MCML at ACM SIGSPATIAL 2019
One Accepted Paper
27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, ILL, USA, Nov 05-08, 2019
We are happy to announce that MCML researchers have contributed a total of 1 paper to ACM SIGSPATIAL 2019. Congrats to our researchers!
Main Track (1 paper)
F. Borutta • S. Schmoll • S. Friedl
Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning.
ACM SIGSPATIAL 2019 - 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Chicago, ILL, USA, Nov 05-08, 2019. DOI
Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning.
ACM SIGSPATIAL 2019 - 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Chicago, ILL, USA, Nov 05-08, 2019. DOI
Related
11.05.2026
Cordelia Schmid Featured in Süddeutsche Zeitung
Cordelia Schmid, a member of the MCML Advisory Board, was recently featured in Süddeutsche Zeitung for her work in computer vision and robotics.
08.05.2026
Right Answer, Wrong Reasoning - Is AI Thinking or Cheating?
Can AI cheat without us noticing? Our PI Barbara Plank and her team introduce a new detection method at ICLR 2026.
07.05.2026
MCML Delegation Visit to the UK
MCML delegation visited top U.S. universities to advance AI X-Change and foster collaboration in generative and medical AI.