Home | News

14.11.2019

Teaser image to 3rd Place at ACM SIGSPATIAL GisCup 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!

#award #research #seidl

Related

Link to MCML Junior Members Featured in BR Abendschau

30.06.2026

MCML Junior Members Featured in BR Abendschau

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Link to Stefan Feuerriegel Featured in tagesschau

29.06.2026

Stefan Feuerriegel Featured in Tagesschau

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Tiny logo
Link to MCML at COLT 2026

26.06.2026

MCML at COLT 2026

MCML researchers are represented with 1 paper at COLT 2026.

Read more
Tiny logo
Link to MCML at WWW 2026

26.06.2026

MCML at WWW 2026

MCML researchers are represented with 1 paper at WWW 2026.

Read more
Link to FIFA World Cup: How well can AI predict sports results?

19.06.2026

FIFA World Cup: How Well Can AI Predict Sports Results?

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Back to Top