Lecture

Deep Q-Learning: DeepRL1.1

In course

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Description

This lecture covers Deep Q-learning, a straightforward implementation of Q-learning in deep neural networks. Topics include the application of Deep Q-learning in games like Chess and Go, backpropagation for Deep Q-learning, review of Q-values and V-values, consistency conditions of Bellman Equation, and semi-gradient on error function. The lecture concludes with a summary of Deep Q-learning and recommended readings.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_2rk4ru8i

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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