Definition
A classic reinforcement learning problem where an agent must optimally allocate its limited trials between multiple options ("arms") with unknown reward probabilities to maximize the total payoff.
In short: A classic reinforcement learning problem where an agent must optimally allocate its limited trials between multiple options ("arms") with unknown reward probabilities to maximize the total payoff.