QLearnGaming 0.6

A library which makes it simple to build Deep Learning on games

# QLearnGaming This library is built on top of Gym and Keras. This is an example of code running # Coding Example import QLearnGaming import gym env = gym.make(‘CartPole-v0’) model = QLearnGaming.create_model(env) D,state = QLearnGaming.record_events(env,model) model = QLearnGaming.train(D,env,state,model) QLearnGaming.test(env,model) # Output Reward 10.0