Aldo Pacchiano

Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning

Joseph Lazzaro, Alessio Russo, Aldo Pacchiano

In this work we study the Best Policy Identification (BPI) problem in online, tabular Reinforcement Learning. This is an active sequential hypothesis testing problem in which the learner's objective is to identify an optimal policy in a Markov Decision Process (MDP) with high con…Read more