Lecture

Relationship to Neural Learning Rules

Description

This lecture delves into the relationship between neural learning rules and the derivative of the logarithm of a policy, exploring the post-synaptic and pre-synaptic contributions in weight updates. It explains how rewards modulate synaptic weights and how the activity of neurons influences learning.

In MOOCs (3)

Official source

https://mediaspace.epfl.ch/media/0_aa5o6ji2

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Ontological neighbourhood

Biology

Cell biology: Neuroplasticity

Information engineering

Machine learning: Artificial neural networks

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