A company wants to determine the best version of their website homepage among five different designs. They decide to show each version to a subset of visitors and observe which version results in the highest user engagement. This problem is analogous to which classical problem in reinforcement learning?
- Multi-Armed Bandit
- Q-Learning
- Deep Q-Network (DQN)
- Policy Gradient Methods
This scenario is analogous to the Multi-Armed Bandit problem, where a decision-maker must choose between multiple options to maximize cumulative reward, akin to selecting the best website version for maximum user engagement.
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