Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
the consideration of delayed rewards. Reinforcement learning introduces a unique challenge not present in other learning paradigms — the delicate balance between exploration and exploitation. To maximize rewards, a reinforcement learning agent must favour actions it has previously proven effective.