Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
horizon. Policy gradient methods use gradient descent to iteratively update the policy parameters to maximize the expected cumulative reward. The policy is typically represented as a neural network, where the input is the state and the output is a probability distribution over the possible actions.