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 UCL and the 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 of human thinking by building intelligent machines that learn through interaction with complex simulated worlds. Within deep reinforcement learning, my work focuses on:

You can hear more on the TalkRL Podcast and on my research page.

Highlighted Publications

See Google Scholar for more publications.

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.