Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
fluctuate more than the steel blue lines. It is worth noticing that for both algorithms, when the α is (relatively) high, the RMS loss first goes down and then up again. Such a phenomenon is due to the combined effect of the value initialization and the α value. We initialized a relatively high