Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
environment. It uses the policy gradient method to update its parameters and improve its performance. The critic network, on the other hand, evaluates the value of the current state and action pair. It uses the temporal difference learning method to update its parameters and learn from the feedback