Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
action values, the target is the nth reward and the step-size parameter changes from time step to time step. Tracking nonstationary problems: The text discusses tracking nonstationary problems in reinforcement learning and introduces averaging methods suitable for bandit problems where reward