Actor-Critic Architecture and Advantage-Actor-Critic

This lecture delves into actor-critic networks, specifically the advantage actor critic networks, which combine TD learning with policy gradient for optimizing parameters to maximize return. The comparison between actor critic and reinforce with baseline methods is explored, highlighting differences in V value estimation and parameter updates.