Reinforcement Learning
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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.
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GarantieWeitere Informationen
- Allgemeine Informationen
- GTIN 09786130346560
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Jahr 2010
- EAN 9786130346560
- Format Fachbuch
- ISBN 978-613-0-34656-0
- Titel Reinforcement Learning
- Untertitel Bounded Rationality, Markov Decision Process, Dynamic Programming, Supervised Learning, Training Let, Inductive Bias, Concept Learning, Handwriting Recognition
- Herausgeber Betascript Publishers
- Anzahl Seiten 96
- Genre Philosophie
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