Edgar A. Duéñez-Guzmán

Research

My current research interests are at the intersection of machine learning, evolutionary biology and game theory. I work on the emergence of cooperation in multi-agent systems, particularly using reiforcement learning agents.

The techniques are similar to the ones used in traditional evolutionary theory, where we take interesting evolutionary patterns observed in nature and develop models to understand their plausible underlying mechanisms.

The advent of computing power and reiforcement learning agents have opened up a huge swath of fertile research ground that expands on both numerical and analytical modeling.