Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
learning. This method updates the state-value function with TD error, the difference between the estimated value of the state and the reward plus the estimated value of the next state. A constant step size parameter α works the same as in the MC method above. The following is the TD(0)’s equation