20.4 The environments used in the chapter all assume that training sequences are finite. In environments with

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20.4 The environments used in the chapter all assume that training sequences are finite. In environments with no clear termination point, the unlimited accumulation of rewards can lead to problems with infinite utilities. To avoid this, a discount factor 7 is often used, where 7 < 1.

A reward k steps in the future is discounted by a factor of -/. For each constraint and update equation in the chapter, explain how to incorporate the discount factor.

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