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…