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For various clarifications/proofs behind an Artificially Intelligent agent's reasoning process using Decision Theory.

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Can optimizing for immediate reward result in a policy maximizing the return?

The goal of a reinforcement learning agent is to maximize the expected return which is often a discounted sum of future rewards. The return indeed is a very noisy random variable as future rewards dep …
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