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.
About Me
Edgar A. Duéñez Guzmán is a Senior Research Engineer at DeepMind.
Previously he was at Google, where he developed the first
machine learning system to select the index for Image Search.
During his academic career, he was a Postdoctoral fellow at the
Department of Biology at
KU Leuven working with
Tom Wenseleers in social evolution in microbes;
and a Research Associate at the
Department of Organismic and Evolutionary Biology at
Harvard University working with
David Haig in social evolution and imprinting.
Learn more...
Contact Info
E-mail: eaduenez {at} gmail {dot} com