What Does Deep Q-Networks Mean?
Deep Q Networks (DQN) are neural networks (and/or related tools) that utilize deep Q learning in order to provide models such as the simulation of intelligent video game play. Rather than being a specific name for a specific neural network build, Deep Q Networks may be composed of convolutional neural networks and other structures that use specific methods to learn about various processes.
Techopedia Explains Deep Q-Networks
The method of deep Q learning typically uses something called general policy iteration, described as the conjunction of policy evaluation and policy iteration, to learn policies from high dimensional sensory input.
