Felix Berkenkamp portrait

I am a lead research scientist and activity lead at the Bosch Center for AI. My main goal is to bring advanced AI methods to applications in the real world. Currently, my main focus is on reinforcement learning, large-scale meta-learning, and generative AI methods.

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

Talks and Lectures

Invited talk on real-world RL.

RLSS Lecture on Model-based Reinforcement Learning

RLSS Lecture on Safe Reinforcement Learning

Guest lecture on Safe Bayesian Optimization for CS 159: Data-Driven Algorithm Design at Caltech.

ETH Day 2018 short presentation (in German)

Invited talk at the Workshop on Reliable AI 2017

Research videos