Technology, Artificial Intelligence, Data Science, Deep Learning, Data.
maximize the expected cumulative rewards. We theoretically prove that minimizing such f-divergence can make the learning policy converge to the optimal policy. Besides, we convert the process of training agents in FRL framework to a saddle-point optimization problem with a specific f function