ethan brooks

I am a machine learning researcher in the subdiscipline of deep reinforcement learning. I connected with this field through my encounters with empiricist philosophy in college. I believe that reinforcement learning and deep learning supply compelling answers to the centuries-old question of how human beings learn to make sense of the "blooming, buzzing confusion" of sensory experience and learn to thrive in our infinitely chaotic reality. My research interests focus on the intersection of reinforcement learning and natural language. I am interested in leveraging large data sets and the supervised models trained on them (e.g. GPT-X) to improve reinforcement learning. I am also interested in the role of reinforcement learning in discovering both natural language and structured programming...