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Learning to predict by the methods of temporal differences
Temporal-difference learning (TD), coupled with neural networks, is among the most fundamental building blocks of deep reinforcement learning. However, due. 
TD 9889 PDF - IRS
If a 50% chance of rain is predicted on Monday, and a 75% chance on ~wsday, then a TD method increases predictions for days similar to Monday, whereas a ...