I am a PhD student at the University of Toronto advised by Jimmy Ba and Geoffrey Hinton. I am also a researcher at Google Brain and the Vector Institute. I completed my MRes in CSML at University College London advised by Tim Lillicrap and Karl Friston. My work is supported by the Vanier Scholarship.

My goal is to understand the computational principles behind human thinking by replicating them in complex environments. My current research focuses on general objectives for reinforcement learning, reinforcement learning through world models, and unsupervised learning. You can hear more about my research on the TalkRL Podcast.

If you have any questions, feel free to contact me at [email protected].

Selected research

Please see my Scholar profile for a full list including article links.

Short biography

Danijar Hafner is a PhD student at the University of Toronto advised by Jimmy Ba and Geoffrey Hinton. He is also a student researcher at Google Brain and the Vector Institute. His research focuses on artificial intelligence, specifically reinforcement learning with world models and intrinsic objectives for agents that learn without rewards. Danijar obtained 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.

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