Felix Berkenkamp portrait

I am a senior AI researcher at IPAI Aleph Alpha Research. My main goal is to bring advanced AI methods to applications in the real world, with a method focus on topics related to reinforcement learning and generative AI.

Previously, I was a senior expert on reinforcement learning and activity lead at the Bosch Center for AI and completed my PhD in 2019 at ETH Zurich, for which I received the ELLIS PhD award and held a AI fellowship from the Open Philanthropy Project. I completed research internships at Microsoft Research and Deepmind and was the workflow chair for ICML 2018

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

NIPS/CoRL 2017: "Safe Model-based Reinforcement Learning with Stability Guarantees".

CDC 2016: "Safe learning of regions of attraction for nonlinear, uncertain systems with Gaussian processes".

ICRA 2016: "Safe Controller Optimization for Quadrotors with Gaussian Processes".

Research videos

ICRA paper: "Safe Controller Optimization for Quadrotors with Gaussian Processes".

ECC paper: "Safe and robust learning control with Gaussian processes"

NIPS paper: "Safe exploration in finite Markov Decision Processes with Gaussian processes".

ICRA paper: "Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization".

NeurIPS paper: "Safe exploration in finite Markov Decision Processes with Gaussian processes".