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I am a Principal Scientist at AWS AI Labs. I was at Google Research  from 2018 to 2021, at Adobe Research from 2014 to 2018, at Technicolor’s Research Center from 2011 to 2014, and at Intel Research from 2006 to 2011. Before 2006, I was a graduate student in the Intelligent Systems Program at the University of Pittsburgh . My advisor was Milos Hauskrecht . My e-mail is [email protected] .

I propose, analyze, and apply algorithms that learn incrementally, run in real time, and converge to near optimal solutions as the number of observations increases. Most of my recent work focuses on designing bandit algorithms for structured real-world problems.

Exploration-exploitation trade-off is a fundamental online learning problem, between taking exploration actions that lead to learning a better model, and taking exploitation actions that leverage it. A multi-armed bandit arose as a de-facto standard approach to solving this problem. In the multi-armed bandit, the actions of the agent are arms. The arms can be treatments in a clinical trial or ads on a website. After the arm is pulled, the agent receives its reward. The agent aims to maximize its cumulative

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