Reinforcement Learning, Actor Critic, Deep Learning, Pytorch, Machine Learning.
method to calculate q_targets= reward + gamma * (target_Q(s’, a’) — alpha * log pi(a’|s’)). We’ll look at the log probability calculation later. the policy loss = alpha*log pi(a|s) — q_preds the alpha loss = log_alpha * (log_probs + target_entropy), where target_entropy =