Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
terminal states, while in TD(0), the function should include the terminal state with the value of 0 because the TD(0) method always looks one step ahead before the episode ends. Implementation The α parameter selection in this implementation references the that proposed in the book [2]; the