Incremental state aggregation for value function estimation in reinforcement learning
In reinforcement learning, large state and action spaces make the estimation of value functions impractical, so a value function is often represented as a linear combination of basis functions whose linear coefficients constitute parameters to be estimated. However, preparing basis functions require...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 41(2011), 5 vom: 01. Okt., Seite 1407-16
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| 1. Verfasser: |
Mori, Takeshi
(VerfasserIn) |
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| Weitere Verfasser: |
Ishii, Shin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2011
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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