Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
strategies have been proposed, such as ε-greedy, softmax, and Upper Confidence Bound (UCB), among others. These strategies use different ways to balance exploration and exploitation, and the choice of strategy depends on the specific problem at hand. 3. Applications of Reinforcement Learning