A Markov decision process is an appropriate formalism for reinforcement learning. A common method is to learn

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• A Markov decision process is an appropriate formalism for reinforcement learning. A common method is to learn an estimate of the value of doing each action in a state, as represented by the Q(S,A) function.

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Muhammad Salman Alvi

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