Temporal Difference Learning as Gradient Splitting
Rui Liu 1 Alex Olshevsky 2
Abstract TD uses differences in predictions over successive time
steps to drive the learning process, with the prediction at
Temporal difference learning with linear function any given time step updated via a carefully chosen step-size
approximation is a popular method to obtain a to bring it closer to the predicti ...


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