Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
function is denoted by V(s) and is defined as the expected cumulative reward that an agent can receive starting from a given state s and following the current policy. Action-value function: It predicts how much reward an agent can expect to receive by taking a particular action in a given state.