Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, Deep Learning.
Reward + gamma X T_Q(s’, T_A(s’)) And Actor loss= — Q(s,A(s)) Where A=Actor Network Q=Critic Network T_A = Target Actor network T_Q = Target Critic Network s = current state s’= next state What are Target networks getting used in DDPGs? So they are nothing but copy networks of actual Actor & Critic