Reinforcement Learning, Machine Learning, Deep Learning.
and selects a random arm with probability epsilon. The value of epsilon is usually chosen to balance exploration and exploitation. If epsilon is set to zero, the algorithm always selects the arm with the highest estimated reward, which can lead to suboptimal solutions if the estimates are