Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
optimal action in only about one-third of the tasks. In contrast, ε-greedy methods continue to explore, improving their chances of recognizing the optimal action. The advantage of ε-greedy over greedy methods depends on the task, with ε-greedy methods performing better in scenarios with noisier