Apply reinforcement learning to product decisions

Q: Apply reinforcement learning to product decisions

This is a Machine Learning interview question from Meta for Data Scientist roles. View the full question and solution on PracHub.

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Question

Session‑level recommendations have stateful effects and feedback loops affecting long‑term retention. a) Formulate the problem as an MDP (state, action, reward, horizon) and contrast with contextual bandits. b) Outline offline policy evaluation using doubly‑robust inverse propensity scoring and describe diagnostics for support violations. c) Propose safe exploration under business constraints (e.g., conservative policy improvement). d) Address network effects and interference during evaluation and rollout.

Apply reinforcement learning to product decisions

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