AI and Art
Policy gradient is a type of reinforcement learning algorithm that optimizes the policy directly by adjusting the parameters of the policy function to maximize expected rewards. Unlike value-based methods, which estimate the value of states or actions, policy gradient methods focus on learning a parameterized policy that can map states to actions, making them well-suited for high-dimensional and continuous action spaces.
congrats on reading the definition of policy gradient. now let's actually learn it.