news

Another edition of the workshops organized by GMUM (Group of Machine Learning Research) is behind us, bringing with it many inspiring discussions on the applications of artificial intelligence, new ideas, and connections made. We look forward to continued collaboration and promising research!

This Wednesday Rafal will present overview of our findings at the Kongres Mobilności 2025 Conference in Kraków, he will talk about possible future of traffic jams with Autonomous Vehicles. More info and slides here

Exciting news! 🎉Our work URB – Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles has been accepted to the prestigious NeurIPS 2025 conference! We’re thrilled to share our research with the global AI community — and even more excited to be heading to San Diego this year. San Diego, here we come!

Members of our Lab are keeping busy during the conference season. Today, Onur is presenting his work titled “Routing Autonomous Vehicles Using RL – Progress and Future Directions” at the 18th European Workshop on Reinforcement Learning (EWRL 2025) in Tübingen. This is another edition with our participation, and therefore another opportunity for broad discussion on open problems and future research directions within the European reinforcement learning research community.

Last week Hanna participated in the SUM project General Assembly in Fredrikstad. The two days were marked by discussions on the progress of the project and provided a platform for the mutual exchange of experiences. We also reviewed the achievements to date within Living Labs and among our partners. Additionally, we set the priorities for the third year of the project – all with the aim of delivering tangible benefits to cities across Europe 🌆💪 Many thanks to the organizers for the excellent organization!

Today, during the 10th International Symposium on Dynamic Traffic Assignment (DTA2025) in Salerno Grzegorz, on behalf of Gunnar Flötteröd, Rafał Kucharski and David Watling, is presenting the work Coexistence of human drivers and CAVs - behavioral models and long-term properties. DTA is dedicated to the latest research and methods for modeling dynamic traffic assignment, which help better understand and predict road users’ behavior in real time. This year’s edition offers a valuable opportunity for Grzegorz to share insights on cutting-edge optimization, simulation, and analysis methods for transportation systems aimed at enhancing efficient traffic management.