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 Canada’s 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 candidate in artificial intelligence at the University of Toronto with Jimmy Ba and Geoffrey Hinton. He is also a researcher at the Brain Team at Google Research and the Vector Institute. His research focuses on building intelligent machines based on the computational principles of the brain and evaluating them in complex simulations. Specifically, he focuses on learning general world models and on deep reinforcement learning without rewards. Danijar completed his MRes in Computational Statistics and Machine Learning at UCL and the Gatsby Unit with Tim Lillicrap and Karl Friston. His work is supported by Canada’s Vanier Scholarship.