Rare card
Multi-armed bandit
- Value
- 50 W
- Attack
- 247
- Defence
- 198
- Players
- 0
In probability theory and machine learning, the multi-armed bandit problem (sometimes called the K- or N-armed bandit problem) is named from imagining a gambler at a row of slot machines (sometimes known as "one-armed bandits"), who has to decide which machines to play, how many times to play each…
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