John Moberg

I'm a Ph.D. student at Uppsala University primarily interested in reinforcement learning. Before that, I was an AI Research Engineer at Peltarion AI Research where I went after graduating from Chalmers University of Technology.

Check out my Google Scholar or LinkedIn for more details, and if you have any questions or simply want to get in touch, don't hesitate to contact me!

Latest news

Uppsala University
Ph.D. student at Uppsala University

I'm now a Ph.D. student at Uppsala University under the supervision of Professor Thomas Schön. I'll be working on making deep reinforcement learning more robust and efficient.

NeurIPS 2019
Workshop paper at NeurIPS 2019

An extended abstract, Bayesian Linear Regression on Deep Representations, based on my thesis, was accepted to the 4th workshop on Bayesian Deep Learning at NeurIPS 2019 in Vancouver, Canada, and I'm excited to be able to attend the conference!

Uncertainty-aware regression
Master thesis presented

I just presented and published my Master thesis on Uncertainty-Aware Models for Deep Reinforcement Learning. I use Bayesian linear regression on the representation from the last layer of a neural network to get epistemic and heteroscedastic aleatoric uncertainty estimates.