Meta Learning and Self Play - Ilya Sutskever, OpenAI

Speaker: Ilya Sutskever, OpenAI Hosted by: Vector Institute Date and Time: Thursday, December 14, 2017 - 12:00pm to 1:00pm Location: Fields Institute, Room 230 Abstract: In the first part, I will talk about meta learning, which is the problem of training a system that quickly learns to solve a wide variety of tasks. I will present meta reinforcement learning algorithms that can quickly solve simulated robotics tasks, and show how a simple meta learning approach can address the sim2real problem in robotics. The second part will be on self play. Self play systems provide a perfectly-fined grained curriculum, a potentially indefinite incentive for improvement, and a way of converting compute into data. I will present several recent results in self play and discuss their future potential.