Learning to Run a Power Network (L2RPN) is an international Reinforcement Learning Competition organized by RTE, the French Transmission System Operator. The annual competition attracts the attention of top international research teams with the goal to advance the state of the art in AI powered control of large scale power networks.
Our RL Team took the opportunity to put our internally developed RL framework Maze to the test and won 3rd place out of several international competitors.
Congratulations to our team!
Official challenge web page: https://competitions.codalab.org/competitions/?q=icaps
Maze RL Framework: https://github.com/enlite-ai/maze
Detekt, our geospatial data platform for object, surface and damage detection, had its market launch in June 2022. The Detekt demo is now publicly available for you to try!
During the ViennaUp’22 we got interviewed on the Austrian state of AI and our work in geoAI and reinforcement learning