I am currently a PhD candidate in the Computer Science Department at Boston University under Dr. Alex Olshevsky. Prior to this, I studied at Colgate University, where I graduated in 2018 with a double major in computer science and neuroscience. My research interests include signal proccessing and biologically plausible machine learning. My current research interest is Multi-Agent Reinforcement Learning.
My recent research experiences have been focused heavily on biologically plausible machine learning and creating an agent to learn a multi-agent task with simultaneous moves through self-play.Publications:
Yu, R., Wood, A., Cohen, S., Hershcovitch, M., Waddington, D., Chin, P. (2022). Biologically Plausible Complex-Valued Neural Networks and Model Optimization. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-031-08333-4_30Recent Teaching:
CS 440 - Introduction to AI. Spring 2023 (Current). Teaching Fellow