Supervised learning plus reinforcement learning: What classification is supported?
Labels indicate supervised learning, rewards indicate reinforcement learning, and pilot success does not establish broad trustworthiness.
The question
A retailer tests two demand-planning systems. System A learns from historical sales records paired with known demand quantities. System B repeatedly proposes inventory actions and receives reward feedback based on stockouts and excess inventory. Both systems perform well in a pilot, but neither pilot establishes fairness or reliability across all stores. What classification is supported?
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- Classify System A as unsupervised and System B as supervised learningKnown demand quantities are labels for System A, while reward feedback identifies System B with reinforcement learning.
- Supervised learning plus reinforcement learning ✓System A uses labeled demand quantities, and System B uses reward feedback. The pilot does not support broad fairness or reliability claims across stores.
- Classify both systems as supervised learning from business dataSystem B is described as learning through reward feedback, not labeled target examples; business data alone does not establish supervised learning.
- Treat pilot performance as proof of fairness and reliability across storesGood pilot performance is evidence about the tested setting, not proof of fairness or reliability across all stores.
The trap
Separate how a system learns from what its evaluation actually demonstrates. How to remember it
Labels indicate supervised learning, rewards indicate reinforcement learning, and pilot success does not establish broad trustworthiness.
How many of these would you get right?
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