About

Hi there! I am a second-year PhD student at the Machine Learning Group of the University of Cambridge, supervised by Prof. Carl E. Rasmussen and advised by Dr. José Miguel Hernández-Lobato. My research focuses on data-efficient learning and control under uncertainty, including work on reinforcement learning, Bayesian machine learning, and deep learning.

Previously, I was a Master's student at TU Darmstadt, supervised by Prof. Gerhard Neumann and Prof. Jan Peters from the Intelligent Autonomous Systems Group. I worked on data-efficient robotic grasping from preference feedback as well as inverse reinforcement learning of bird flocking behavior.

Recent Projects

Bayesian Batch Active Learning as Sparse Subset Approximation
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler, Jonathan Gordon, Eric Nalisnick, José Miguel Hernández-Lobato
NeurIPS 2019
Preprint
Factored Contextual Policy Search with Bayesian Optimization
Factored Contextual Policy Search with Bayesian Optimization
Robert Pinsler, Peter Karkus, Andras Kupcsik, David Hsu, Wee Sun Lee
ICRA 2019
Preprint | Video | Poster
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences
Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann
ICRA 2018
Paper | Preprint
Inverse Reinforcement Learning of Flocking Behavior
Inverse Reinforcement Learning of Bird Flocking Behavior
Robert Pinsler, Max Maag, Oleg Arenz, Gerhard Neumann
ICRA 2018 Workshop
Paper

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