Felix Berkenkamp portrait

I am a lead research scientist and activity lead at the Bosch Center for AI. I am interested in the fundamental problems behind data-efficient and safe reinforcement learning with the goal of enabling learning on real-world systems.

Previously, I completed my PhD at ETH Zurich, for which I received the ELLIS PhD award. My PhD advisors were Andreas Krause and Angela Schoellig. I held a AI fellowship from the Open Philanthropy Project, was an Associated Fellow at the Max Planck ETH Center for Learning systems and a postgraduate affiliate at the Vector institute. I was also the workflow co-chair for ICML 2018 and completed research internships at Microsoft Research and Deepmind.

Recent News

  • Jul. 2023: Invited talk at the Reinforcement Learning Summer School
  • Dec. 2022: Invited talk at the NeurIPS trustworthy AI Workshop
  • Jul. 2022: Invited talk at IJCAI Workshop on Safe RL
  • Feb. 2021: Two papers accepted at ICLR and AISTATS
  • Oct. 2021: Invited talk at the Control Seminar, University of Oxford
  • Oct. 2021: Outstanding reviewer award for NeurIPS 2021
  • Sep. 2021: Invited talk at TU Darmstadt
  • Sep. 2021: Panel speaker at IROS workshop on Safe Real-World Robot Autonomy
  • Mar. 2021: Guest lecture on safe reinforcement learning as UCSD

Talks and Lectures

Research videos