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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Artificial Intelligence Foundations Of Computational Agents

ISBN: 9781107195394

2nd Edition

Authors: David L. Poole, Alan K. Mackworth

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Question Posted: Oct 12, 2024 12:02 PM

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

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Artificial Intelligence Foundations Of Computational Agents

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