Reinforcement Learning
In 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 ...
Error-backpropagation in temporally encoded networks of spiking ...Abstract?Dynamical networks are versatile models that describe a variety of behaviours such as synchronisation and feedback. However, applying these models ... Backpropagation and Reinforcement Learning - WashingtonThe backpropagation algorithm can be adapted to operate on the TD error for training. The Backpropagation Algorithm. Normally, the ... Performance Analysis of a New Updating Rule for TD( ) Learning in ...In this paper, a new learning rule for applying TD( ) to backpropagation network is derived. A simple backpropagation network is trained with TD( ) learning to ...
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