Reinforcement Learning, Machine Learning, Deep Learning.
solving the multi-arm bandit problem, each with its own strengths and weaknesses. The most well-known algorithms are epsilon-greedy, UCB1, and Thompson Sampling. Epsilon-Greedy: Epsilon-greedy is a simple algorithm that selects the arm with the highest estimated reward with probability 1-epsilon