Marek Petrik

Marek Petrik

I am an Assistant Professor in the Department of Computer Science at the University of New Hampshire. Before, 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.

Research Interests

I am interested in robust data-driven decision making. I study methods in reinforcement learning, approximate dynamic programming, robust mathematical optimization, and machine learning. I have worked on applications in domains that include precision agriculture, renewable energy management, supply chains, and others.

I am a member of the artificial intelligence research group at UNH.

Recent Publications

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.

Interpretable Policies for Dynamic Product Recommendations, Marek Petrik, Ronny Luss, Uncertainty in Artificial Intelligence (UAI), 2016.

All Publications

Contact Information

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.