Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
of observed rewards in a computationally efficient manner with constant memory and per-time-step computation. The focus is on a single action, and the challenge is to update estimates with small, constant computations for each new reward, avoiding the need for storing all rewards and growing memory