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How can be used finite automata, and Markov chains to recognize patterns
how a computational model or a discrete probabilistic model can be used to recognize a pattern, said to recognize future positions of a discrete vector.
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Markov Decision Process - Utility Function
Reward R(S) in a Markov Decision Process is a mapping from a State S -> Bounded number. I want to know how a Utility Function is defined for an MDP.
I think it has to be a mapping from a sequence of ...
