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As a supplement to nbro's nice answer, I think a major difference between RL and optimal control lies in the motivation behind the problem you're solving. As has been pointed out by comments and answers here (as well as the OP), the line between RL and optimal control can be quite blurry. Consider the Linear-Quadratic-Gaussian (LQG) algorithm, which is ...


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The same book Reinforcement learning: an introduction (2nd edition, 2018) by Sutton and Barto has a section, 1.7 Early History of Reinforcement Learning, that describes what optimal control is and how it is related to reinforcement learning. I will quote the most relevant part to answer your question, but you should read all that section to have a full ...


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Assumption In this answer it is assumed that with "neurochips" you mean chips made (using neuromorphic engineering) for neuromphic computing. Related example From what I currently understand from this article neuromorphic chips, in particular the TrueNorth chip, are being used (or emulated) for embedded systems related signals processing. Doubt The ...


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