How to do backpropagation in a brain - University of Toronto
This contrasts with the TD/backpropagation combination discussed in the preceding subsection, which uses separate mech- anisms for each kind of credit ...
M1 Miage 2017?2018 Intelligence Artificielle - lamsadeThe evaluation network is trained by Backpropagation and the TD (0) learning procedure. Both networks are employed for analyzing training examples in order ... Combining TD-learning with Cascade-correlation Networks - AAAIEquations are derived for a fully connected feedforward network with layers labeled H(input), I(hidden) and J(output), where the resulting algorithm applies. Reinforcement LearningIn this paper, a new learning rule for applying TD(X) to backpropagation network is derived. A simple backpropagation network is trained with TD(X) learning to ...
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