Marc joined the Applied AI group in 2023 as a postdoctoral researcher, where he worked on model-based reinforcement learning and generative models.
Previously, Marc completed his DPhil at the ORI under the supervision of Prof. Nick Hawes and Dr. Bruno Lacerda as a Clarendon scholar. His DPhil developed new algorithms for achieving robustness and risk-sensitivity in deep reinforcement learning and planning under uncertainty.
For more information, see Marc’s personal website (https://marc-rigter.github.io/). For a list of publications see his Google scholar profile (https://scholar.google.com/citations?user=0PthAD8AAAAJ&hl=en)