20.5 The description of reinforcement learning agents in Section 20.1 uses distinguished terminal states to indicate the

Question:

20.5 The description of reinforcement learning agents in Section 20.1 uses distinguished terminal states to indicate the end of a training sequence. Explain how this additional complication could be eliminated by modelling the "reset" as a transition like any other. How will this affect the definition of utility?

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