Dominik Baumann: Safe reinforcement learning: global exploration and discrete contexts
Dominik received a diploma in electrical engineering from TU Dresden, Germany in 2016. He was then a joint PhD student with the Max Planck Institute for Intelligent Systems in Germany and KTH Stockholm, Sweden. He obtained the PhD from KTH in 2020. After obtaining his PhD, Dominik did a one year postdoc at RWTH Aachen University, Germany, and is currently a postdoctoral researcher at Uppsala University, Sweden. From January on, he will be assistant professor at Aalto University in Finland. Dominik’s research interests revolve around learning and control for networked multi-agent systems. More information at https://baumanndominik.github.io/.