Marcel Wasserer and Matthias Dorfer held a keynote on "Powergrid congestion management with model-based Reinforcement Learning" at the AAIC Energy 2022.
Our grid optimization solution was recently featured in a global report on the state of AI in the energy sector
We are very proud and honoured to to have achieved the second place at Mercur22 - the Viennese innovation award, hosted by the Viennese economic chamber
We have been invited to present our 3rd place winning solution for the Learning to Run a Power Network Challenge 2021- Towards a Machine Learning Based Control Center Digital Assistant.
We are proud to announce that our Reinforcement Learning (RL) Team won 3rd place in the international L2RPN with Trust Competition co-organized with ICAPS2021.
We are excited to announce Maze, a new framework for applied reinforcement learning (RL).