Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
time, it outperforms the ε-greedy method as exploration decreases. This strategy, known as optimistic initial values, is considered a simple yet effective trick, particularly for stationary problems. However, it may not be universally applicable, especially in nonstationary problems where its