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时序差分学习
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时序差分学习
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强化学习
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temporal difference learning
时序差分学习
时序差分学习算法是强化学习中一种用于预测的经典算法,最早由R.萨顿(Richard Sutton)提出。此算法可以获得和监督学习同样的效果,并且占用的内存更少、收敛更快。
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