UCB-Exploration Algorithms represent a popular choice for reinforcement learning tasks due to their effectiveness. The Upper Confidence Bound applied with Empirical Average (UCB-EA) algorithm, in particular, is notable for its ability to balance exploration and exploitation. UCB-EA utilizes a confidence bound on the estimated value of each action,