Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
policy can be deterministic, meaning that it always chooses the same action for a given state, or stochastic, meaning that it chooses actions probabilistically. In a stochastic policy, the probabilities of taking each action in a given state are specified by the policy. The goal of reinforcement