Instruction: Describe the reinforcement learning setup, including the definition of states, actions, and rewards, as well as how you would address the exploration vs. exploitation dilemma.
Context: This question tests the candidate's knowledge of reinforcement learning concepts and their application to real-world problems, such as personalization in content recommendation.
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I would be careful not to force reinforcement learning into a recommendation problem just because it sounds advanced. RL only makes sense if the product really has sequential decisions, delayed rewards, and a need to optimize long-term value rather than one-step clicks.
If those conditions hold,...