This research forms part of a larger international community working on the official RoboRacer project. We have partners in the USA, Germany and Belgium where our students have completed exchanges in the past. In our group, we mainly focus on using reinforcement learning for different components of the racing pipeline, although it is common to combine this with techniques from control theory such as Kalman/particle filters, model predictive control, etc. We are interested in head-to-head racing as well as single-agent time trials.