Harry Giles

Harry is masters graduate in mathematics from Cambridge, UK. He is interested in statistics, and has experience working in finance. In particular, he is interested in reinforcement learning, and other topics of decision making under uncertainty and/or Constraints.

At CHAI, Harry has been working with Lawrence Chan on models for suboptimal RL policies, in particular Boltzmann rationality, for which he has also been working on the IRL problem. You can contact him through his website.