Python Programming Tutorials

Deep Q Networks are the deep learning/neural network versions of Q-Learning. With DQNs, instead of a Q Table to look up values, you have a model that you inference (make predictions from), and rather than updating the Q table, you fit (train) your model. The DQN neural network model is a regression model, which typically will output values for each of our possible actions. These values will be continuous float values, and they are directly our Q values. As we enage in the environment, we will do a .predict() to figure out our next move (or move randomly).