Lecture
Deep Q-Learning: DeepRL1.1
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.
Official source
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