Bandit algorithm
Concept
A type of problem in reinforcement learning where an agent must choose between multiple options (arms) with unknown reward probabilities, aiming to maximize cumulative reward.
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A type of problem in reinforcement learning where an agent must choose between multiple options (arms) with unknown reward probabilities, aiming to maximize cumulative reward.
