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• W2100045523 abstract "In this paper, we develop a multi-step prediction algorithm that is guaranteed to converge when using general function approximation. Besides, the new algorithm should satisfy the following requirements: first, it does not have to be faster than TD(0) in the look-up table representation; however, the new algorithm should be faster than residual gradient method. Second, the new algorithm should learn optimally" @default.
• W2100045523 created "2016-06-24" @default.
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• W2100045523 date "2006-06-01" @default.
• W2100045523 modified "2023-09-26" @default.
• W2100045523 title "Historical Temporal Difference Learning: Some Initial Results" @default.
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• W2100045523 doi "https://doi.org/10.1109/imsccs.2006.231" @default.
• W2100045523 hasPublicationYear "2006" @default.
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