Boosted Fitted Q-Iteration

no code implementations • ICML 2017 • Samuele Tosatto, Matteo Pirotta, Carlo D’Eramo, Marcello Restelli

This paper is about the study of B-FQI, an Approximated Value Iteration (AVI) algorithm that exploits a boosting procedure to estimate the action-value function in reinforcement learning problems.

regression