Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
implementation; TD methods have low variance because it uses the immediate reward plus the estimate of the next state, which smooths out the fluctuation that raises from the randomness in rewards and actions. Evaluating TD(0) and constant-α MC on simple gridworld setup To make their difference more