Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
for updating the state-value function at time t: Generally speaking, the difference between MC and TD methods happens on three aspects: Update rule: MC methods update values only after the episode ends; this could be problematic if the episode is very long, which slows down the program, or in the