Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
estimates. While ε-greedy action selection explores non-greedy actions without distinction, UCB aims to choose non-greedy actions based on their potential for being optimal, considering both their estimated closeness to the maximum and the uncertainties in those estimates. The UCB action selection