Meet Benjamin Eysenbach: Exploring AI decisionmaking through reinforcement learning
Benjamin Eysenbach, assistant professor of computer science, designs algorithms so that AI agents can solve problems that humans don’t know how to solve. These AI agents learn through trial and error, rather than mimicking human actions. In this Q&A, Eysenbach discusses his research and its application for the future of AI.Eysenbach joined Princeton Computer Science in 2023. He received his Ph.D. from Carnegie Mellon University and spent a number of years at Google Research before and during his...