About me
I am a Research Assistant at the University of Alberta working with Marlos C. Machado and Michael Bowling. I am interested in understading the computational principles that explain the emergence of intelligent systems. In particular, I am focused in the problems of continual exploration and state construction in reinforcement learning. These two are inseparable problems whose solution encompass many other sub-problems and related areas like option and sub-goal discovery, representation learning and spectral-based algorithms, partial observability and memory, hippocampal neural activation, distance and graph learning, planning, continual learning, and online learning.
In my recent work, I concentrate on analyzing and comparing spectral based representations with the average activation of cells in the hippocampal formation (see Stachenfeld et al., 2017 for a reference). Also, I am working in extensions of the Laplacian representation in asymmetric environments.
Publications
 | Proper Laplacian Representation Learning |
 | Information Optimization and Transferable State Abstractions in Deep Reinforcement Learning |