Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
goal is to maximize some sense of cumulative reward. The state-value function, v(s) outputs the expected return from starting at state, S Since the agent wants the highest reward count, we can create another sample episode and work through numerous situations that stem from state S to understand