Discussion
What is a policy in agent terms?
Answer: D
A policy specifies an action for every state, so an agent following one need not plan afresh at each step. It is the standard object of reinforcement learning, where the goal is to find a policy maximising long term reward. Constraints, plans and performance measures are distinct concepts, though a plan is a sequence rather than a mapping. Distinguishing a policy from a plan matters because one is robust to unexpected states and the other is not.
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