Sebastian Risi is a Professor at the IT University of Copenhagen where he directs the Creative AI Lab, and co-directs the Robotics, Evolution and Art Lab (REAL).
I am doing my postdoc at the IT University of Copenhagen where I’m on an international DARPA project concerning self-driving vehicle safety. At the ITU I was in charge of two courses on the master’s program.
I am an academic, game designer, researcher, and former media artist interested in the essence of play and its relation to the condition of humanity.
I’m the head of the brAIn lab where i’m doing research on computational models of users’ experience and cognition in digital environments.
My current research is looking at how agents may learn, adapt, self-organise, and learn to learn, in a more open-ended way.
Elias Najarro is a PhD student at the Robotics, Evolution and Art Laboratory (REAL) Group of Digital Design department at IT University of Copenhagen, Denmark.
My research focuses on improving the ability of artificial agents to cope with circumstances outside of what was seen during an initial training phase.
I am interested in all aspects of robotics and AI, but in particular using articifical evolution as a tool to design more adaptive sytems capable of operating in the real world.
Matthias Freiberger is a researcher focusing on efficient and bio-inspired artificial intelligence.
My PhD focuses on applications of Bayesian Optimization (and other forms of modelling) to adapting content for users and bots.
I’m a husband and dad of two, who recently decided to deviate from my professional career to pursue an academic career instead.
Former Members
Current research interests: Perception of the self and of self-produced actions in immersive virtual reality; haptic interaction and manipulation of intangible objects; immersive technology in playful experiences; interaction design and […]
Describing and generating elusive game properties such as Game Feel, Juiciness and Friction in prototypes.
Current research interests: Variational autoencoders, generative models, and mixture models for timeseries datasets.
My main research interest is trying to figure out how to learn good unsupervised world models and how to use them for vastly speeding up reinforcement learning.