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Reinforcement Learning: Bounded Rationality, Markov Decision Process, Dynamic Programming, Supervised Learning, Training Let, Inductive Bias, Concept Learning, Handwriting Recognition - Softcover
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Inspired by related psychological theory, in computer science, reinforcement learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. Reinforcement learning algorithms attempt to find a policy that maps states of the world to the actions the agent ought to take in those states. In economics and game theory, reinforcement learning is considered as a boundedly rational interpretation of how equilibrium may arise.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Inspired by related psychological theory, in computer science, reinforcement learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. Reinforcement learning algorithms attempt to find a policy that maps states of the world to the actions the agent ought to take in those states. In economics and game theory, reinforcement learning is considered as a boundedly rational interpretation of how equilibrium may arise.
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Reinforcement Learning
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VDM Verlag Dr. Müller E.K. Jan 2010, 2010
ISBN 10: 6130346565
ISBN 13: 9786130346560
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! Inspired by related psychological theory, in computer science, reinforcement learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. Reinforcement learning algorithms attempt to find a policy that maps states of the world to the actions the agent ought to take in those states. In economics and game theory, reinforcement learning is considered as a boundedly rational interpretation of how equilibrium may arise. Englisch. Seller Inventory # 9786130346560
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Reinforcement Learning : Bounded Rationality, Markov Decision Process, Dynamic Programming, Supervised Learning, Training Let, Inductive Bias, Concept Learning, Handwriting Recognition
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Inspired by related psychological theory, in computer science, reinforcement learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. Reinforcement learning algorithms attempt to find a policy that maps states of the world to the actions the agent ought to take in those states. In economics and game theory, reinforcement learning is considered as a boundedly rational interpretation of how equilibrium may arise. Seller Inventory # 9786130346560
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Reinforcement Learning | Bounded Rationality, Markov Decision Process, Dynamic Programming, Supervised Learning, Training Let, Inductive Bias, Concept Learning, Handwriting Recognition
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Taschenbuch. Condition: Neu. Reinforcement Learning | Bounded Rationality, Markov Decision Process, Dynamic Programming, Supervised Learning, Training Let, Inductive Bias, Concept Learning, Handwriting Recognition | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130346560 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101376833