Which algorithm is a popular choice for solving the multi-armed bandit problem when the number of arms is large and some structure can be assumed on the rewards?
- Epsilon-Greedy
- UCB1
- Thompson Sampling
- Greedy
UCB1 (Upper Confidence Bound 1) is a popular choice for the multi-armed bandit problem when you can assume some structure on the rewards and the number of arms is large. UCB1 balances exploration and exploitation effectively by using confidence bounds to select arms.
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