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. I’m currently visiting Pieter Abbeel’s lab at UC Berkeley. Previously, 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 environments. Within deep reinforcement learning, my work focuses on:

You can learn more on my research page.

Highlighted Work

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Short Bio

Danijar Hafner is a visiting student at the University California, Berkeley with Pieter Abbeel and a PhD candidate in artificial intelligence at the University of Toronto with Jimmy Ba and Geoffrey Hinton. He is also a student researcher at Google Research and the Vector Institute. Danijar’s research aims to build intelligent machines based on the computational principles of the brain. Towards this goal, he focuses on scaling up embodied artificial intelligence through general world models, unsupervised objectives, and deep reinforcement learning. 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.

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