2020
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods
NeurIPS 2020poster
Actor-critic (AC) methods have exhibited great empirical success compared with other reinforcement learning algorithms, where the actor uses the policy gradient to improve the learning policy and the critic uses temporal difference learning to estimate the policy gradient. Under the two time-scale l…