Team

PHD student working on offline reinforcement learning

Bahareh Tasdighi

PhD student working on optimistic exploration in actor critic algorithms

Gülcin Baykal Can

Visiting PhD Student working on disentangled deep generative networks

Manuel Haussmann

Postdoc working on Bayesian methods for reinforcement learning

Postdoc working on online learning with bandit algorithms

Postdoc working on reinforcement learning theory

Alexander Justin Kopec Thiruchelvam

Self-supervised robot vision

Anders Aabom

Self supervised robot vision

Adaptive optimizers for neural nets

Jessica Bruun

Machine learning, Water quality, pesticides

Lasse Usbeck Andresen

Adaptive optimizers for neural nets

Nikolaj Flindt Holm Hansen

Disentangling Deep Generative Models with Generative Flow Networks

Remus-Stefan Cernat

Reinforcement learning for image enhancement

Viktor Bjerg Nordstrøm

Deterministic Denoising Diffusion Models

Robust visual control with Bayesian neural nets