Lecture

Policy Gradient Methods: Single Neuron Example

In course

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Description

This lecture introduces policy gradient methods using a simple example of a single neuron with binary output. The lecture covers how to associate actions with stimuli, optimize rewards directly, and change neuron weights to maximize expected rewards.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_im67quu2

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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