I am an Assistant Professor in the Department of Computer Science at the University of New Hampshire. Before UNH, I was a Research Staff Member at the IBM’s T. J. Watson Research Center in Yorktown, NY. I received my Ph.D. from University of Massachusetts Amherst in 2010. My advisor was: Shlomo Zilberstein.
I am also a member of the artificial intelligence research group at UNH.
I am interested in robust data-driven decision making and in particular in reinforcement learning with limited data sets, risk aversion, and Bayesian models of uncertainty. My application areas include natural resource management, agriculture, and space physics. I had previously worked on applications in precision agriculture, natural resources, renewable energy management, supply chains, advertising, and others.
A Practical Method for Solving Contextual Bandit Problems Using Decision Trees, Adam N. Elmachtoub, Ryan McNellis, Marek Petrik, Sechan Oh, Uncertainty in Artificial Intelligence (UAI), 2017.
Value Directed Exploration in Multi-Armed Bandits with Structured Priors, Bence Cserna, Marek Petrik, Reazul Hasan Russel, Wheeler Ruml, Uncertainty in Artificial Intelligence (UAI), 2017.
Robust Partially-Compressed Least-Squares, Stephen Becker, Ban Kawas, Marek Petrik, AAAI Conference, 2017.
Safe Policy Improvement by Minimizing Robust Baseline Regret, Marek Petrik, Yinlam Chow, Mohammad Ghavamzadeh, Conference on Neural Information Processing Systems (NIPS), 2016.
If you would like to schedule a meeting with me, please see my calendar and change it to the weekly view to see my availability.