Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
stationary probability distribution based on the selected action. The objective is to maximize the expected total reward over a specific time period, such as 1000 action selections. This scenario is known as the k-armed bandit problem, reminiscent of a slot machine with k levers, where actions