Discussion
What must an agent do in an unknown environment?
Answer: C
Without a model the agent must explore, observe what its actions do and build a model as it goes, which is exactly the reinforcement learning setting. Waiting is not an option in an operating system, optimistic assumptions are unsafe, and confining action to certain outcomes is usually impossible. An environment that must be learned while it is acted in combines the exploration problem with the control problem, which is why it is the hardest of the standard cases.
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