Setting up the DQN-CRLMM model

This section describes how to set up the previous chapter's model for this project and add a few functions.

A DQN-CRLMM model contains a convolutional neural network (CNN) and a Markov Decision Process (MDP) linked together by an optimizer.

A conceptual representation learning meta-model contains:

• A CNN
• An optimizer linking it to an MDP
• An MDP function

This system will now be referred to as a CRLMM.

Training the CRLMM

In previous chapters, the CRLMM program CNN_STRATEGY_MODEL.py was trained to identify Γ (gamma concept) in outputs on the conveyor belt of a food processing factory. The end of the previous chapter brought Γ up to a higher abstraction level.

As long as a member...