67 citations · 85 across the 4 of their papers we have counts for
5 papers
Value Directed Exploration in Multi-Armed Bandits with Structured Priors
Bence Cserna, Marek Petrik, Reazul Hasan Russel +1
Multi-armed bandits are a quintessential machine learning problem requiring the balancing of exploration and exploitation. While there has been progress in developing algorithms wi…
Safe Policy Improvement by Minimizing Robust Baseline Regret
Marek Petrik, Yinlam Chow, Mohammad Ghavamzadeh
An important problem in sequential decision-making under uncertainty is to use limited data to compute a safe policy, i.e., a policy that is guaranteed to perform at least as well…
Building an Interpretable Recommender via Loss-Preserving Transformation
Amit Dhurandhar, Sechan Oh, Marek Petrik
We propose a method for building an interpretable recommender system for personalizing online content and promotions. Historical data available for the system consists of customer…
Robust Policy Optimization with Baseline Guarantees
Yinlam Chow, Marek Petrik, Mohammad Ghavamzadeh
Our goal is to compute a policy that guarantees improved return over a baseline policy even when the available MDP model is inaccurate. The inaccurate model may be constructed, for…
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes
Marek Petrik, Dharmashankar Subramanian
Stochastic domains often involve risk-averse decision makers. While recent work has focused on how to model risk in Markov decision processes using risk measures, it has not addres…