Research Scientist

DeepMind, London


anna -at- harutyunyan -dot- net

Keywords:  reinforcement learning, temporal abstraction, off-policy learning




News

The news have not been updated since 2019

About

Anna was born and raised in Yerevan, Armenia. Her winding academic path has led her through post-Soviet mathematical landscapes and Oregonian planar graphs, to eventually and almost accidentally, reinforcement learning in 2013. She received her PhD in 2018 from the Free University of Brussels, with a thesis titled “Beyond single step temporal difference learning”. Since then she has been a research scientist at DeepMind, continuing to ask questions beyond the convention. A student of wisdom traditions, she is now interested in philosophically and metaphysically motivated technology, poetics of agents, and seeks to align the computational metaphors underlying our algorithms with deeper truths about human and more-than-human intelligence.

Her (likely outdated) CV can be found here