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Fall 2023 GRASP SFI: Samuel Sokota, Carnegie Mellon University, “Reinforcement Learning in Two-Player Zero-Sum Games”
November 15 at 3:00 PM - 4:00 PM
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom.
I’ll discuss reinforcement learning in two-player zero-sum games. Historically, this area has lacked algorithms that perform well in large settings with imperfect information. I’ll describe a resolution for making self-play RL performant.
Carnegie Mellon University
Samuel Sokota is a PhD student at Carnegie Mellon University supervised by Zico Kolter.