Stepan Martyanov

Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis

One of the most effective continuous deep reinforcement learning algorithms is normalized advantage functions (NAF). The main idea of NAF consists in the approximation of the Q-function by functions quadratic with respect to the action variable. This idea allows to apply the algorithm to continuous…