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 interested in robust data-driven decision making. I am in particular interested in:
- Robust reinforcement learning with limited data sets
- Risk averse decision making
- Bayesian modeling methods for reinforcement learning
My current applications are in the areas of:
- Reinforcement learning for mitigating the spread of invasive species
- Machine learning for integrated pest management
I have previously worked on applications in precision agriculture, natural resources, renewable energy management, supply chains, advertising, and others.
For more information about projects I have been involved in, please see my lab website.
I am also a member of the artificial intelligence research group at UNH.
Selected 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.
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.
- Email: firstname.lastname@example.org
- Office Phone: +1-603-862-2682
- Department of Computer Science, Kingsbury W233, Durham, NH 03824