I am a PhD student in artificial intelligence at the University of Toronto with Jimmy Ba and Geoffrey Hinton and a researcher at Google Brain and the Vector Institute. I completed my MRes in Computational Statistics and Machine Learning at the University College London and Gatsby Unit with Tim Lillicrap and Karl Friston. My work is supported by the Vanier Scholarship.

Preferred way of being contacted: [email protected]

Research

The goal of my research is to discover the computational principles underlying human thinking. For this, I build intelligent machines that learn inside of simulated worlds. My work focuses on deep learning, world models, and unsupervised reinforcement learning. You can hear more on the TalkRL Podcast and in this talk:

Publications

See Google Scholar for more publications.

Students

If you would like to work together on a research project, please see this form for more information and to submit your application. I encourage applications from candidates of underrepresented groups and from unconventional backgrounds.

Short Biography

Danijar Hafner is a PhD student at the University of Toronto advised by Jimmy Ba and Geoffrey Hinton. He is also a researcher at Google Brain and the Vector Institute. His research focuses on artificial intelligence, specifically on deep learning, world models, and unsupervised reinforcement learning. Danijar completed his MRes at the University College London and the Gatsby Unit under the supervision of Tim Lillicrap and Karl Friston. He completed his bachelor’s thesis on deep reinforcement learning for the video game Doom at the Hasso Plattner Institute, Germany.