Optimistic Policy Optimization via Multiple Importance Sampling

Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli

Abstract: Policy Search (PS) is an effective approach to Reinforcement Learning (RL) for solving control tasks with continuous state-action spaces. In this paper, we address the exploration-exploitation trad...