Ability to use deep neural networks to build and train neural networks and evolve their architectures to improve their prediction performace.
python train_autonetv0.1.py
--> Runs all episodes (preset is 10) --> dumps the training file to location autonet/autonetdata as a pickle file Intention is to use this pickle file for training the RL model offline. --> need to still write the code to train RL model separately