Joel Veness
Research Scientist, Google DeepMind
About
I am a 30-something Computer Scientist.
At the moment I am working on various aspects of Monte-Carlo Tree Search, General Atari 2600 Game Playing, universal source coding and reinforcement learning.
PhD Work
I investigated some practical aspects of Marcus Hutter's AIXI agent, a Bayesian optimality notion for reinforcement learning. My thesis is now available.
Curriculum Vitae
My CV is available on request.
Background
I grew up in Penrith, later moving to Sydney to study at UNSW. I then spent 2 years at the University of Alberta as a postdoc under Michael Bowling, and now work for Google DeepMind.