Social Sensing and Inverse Reinforcement Learning - Vikram Krishnamurthy скачать в хорошем качестве

Social Sensing and Inverse Reinforcement Learning - Vikram Krishnamurthy

Abstract: This seminar is in two related parts. The first part discusses models for sequential decision-making involving social learning. We also discuss sequential detection involving multi-agent decision-makers and rational inattention models. The second part of the talk discusses inverse reinforcement learning (IRL) – namely how to estimate the utility function of a decision maker given its decisions. We discuss revealed preferences and Afriat’s theorem from microeconomics for IRL and also Bayesian IRL methods to detect the presence of a sequential detector from its decisions. As an illustrative example, we discuss multimedia user engagement. Bio: Vikram Krishnamurthy is a professor at Cornell University. His research interests are in statistical signal processing, stochastic optimization and adaptive sensing. From 2002-2016 he was a Professor and Canada Research Chair at the University of British Columbia, Canada. Disclaimer: This video was recorded when the speaker gave a seminar at Digital Futures, a cross-disciplinary research centre that explores and develops digital technologies of great societal importance (https://www.digitalfutures.kth.se). The content is produced by the speaker and not the center. The captions have been generated automatically. If you need refined captions to access the material, please reach out to the Associate Director for Seminars at Digital Futures.