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• W2890391327 abstract "Reinforcement learning is a way for an artificial intelligence system to learn by trial and error. This paper presents a deterministic limit of such a learning method, in an environment that changes in time. The method is applied to three well-known learning algorithms." @default.
• W2890391327 created "2018-09-27" @default.
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• W2890391327 date "2019-04-10" @default.
• W2890391327 modified "2023-10-18" @default.
• W2890391327 title "Deterministic limit of temporal difference reinforcement learning for stochastic games" @default.
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• W2890391327 doi "https://doi.org/10.1103/physreve.99.043305" @default.
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