For questions related to the reward hypothesis (RH), i.e. the hypothesis that goals (in reinforcement learning) can be defined as the maximization of the expected value of the cumulative sum of the received reward, which is a scalar signal. According to Barto and Sutton's book, the RH was suggested by Michael Littman.

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