Put AI to Work
April 15-18, 2019
New York, NY
Sanjay Krishnan

Sanjay Krishnan
Assistant Professor, University of Chicago

Website

Sanjay Krishnan is an assistant professor of computer science at the University of Chicago. His research focuses on applications of machine learning and control theory to computer and cyberphysical systems problems. His work has received a number of awards including the 2016 SIGMOD Best Demonstration award, 2015 IEEE GHTC Best Paper award, and Sage Scholar award. Sanjay holds a PhD and master’s degree in computer science from UC Berkeley.

Sessions

2:40pm–3:20pm Wednesday, April 17, 2019
The curse of generality: Deep reinforcement learning in the wild
Machine Learning, Models and Methods
 Location: Grand Ballroom West
Secondary topics:  Automation in machine learning and AI, Models and Methods, Reinforcement Learning, Reliability and Safety
Sanjay Krishnan (University of Chicago)
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Drawing on his work building and deploying an RL-based relational query optimizer, a core component of almost every database system, Sanjay Krishnan highlights some of the underappreciated challenges to implementing deep reinforcement learning. Read more.