Deep Q-Learning: From Theory to Practice

Speaker : François Durand
Nokia Bell Labs France
Date: 23/10/2019
Time: 10:30 am - 12:00 pm
Location: Doctoral Training Center (EIT Digital)


After a brief presentation of Reinforcement Learning in general, I give the theoretical bases for a particular reinforcement algorithm, Q-Learning, and its neural-network-powered version, Deep Q-Learning. Then I show some difficulties that can be encountered during implementation and I suggest solutions to overcome them, drawn from my personal experience.

Reference: the slides and videos from David Silver’s online course on Reinforcement Learning (