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Lecture 2: Markov Decision Processes - David Silver
www.davidsilver.ukLecture 2: Markov Decision Processes Markov Processes Markov Chains Markov Process A Markov process is a memoryless random process, i.e. a sequence of random states S 1;S 2;:::with the Markov property. De nition A Markov Process (or Markov Chain) is a tuple hS;Pi Sis a ( nite) set of states Pis a state transition probability matrix, P ss0= P[S ...
CHAPTER A - Stanford University
web.stanford.eduA.1 Markov Chains Markov chain The HMM is based on augmenting the Markov chain. A Markov chain is a model that tells us something about the probabilities of sequences of random variables, states, each of which can take on values from some set. These sets can be words, or tags, or symbols representing anything, like the weather. A Markov chain ...