ArminSommer

I am a machine learning researcher working on model-based reinforcement learning. Instead of just reacting to their environment, systems built with this approach learn a model of the world around them and then use that model to imagine, evaluate, and choose between possible futures.

Most of my time is spent on learned planning: figuring out how a system can learn to search efficiently through the many futures its world-model lets it imagine.

Selected papers