Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, Deep Learning.
pygame.event.get() for event in pygame.event.get(): if event.type==QUIT: pygame.quit() raise Exception('training ended') # Get the action probabilities from the policy network # Choose an action based on the action probabilities action = model.predict(np.array(state).reshape(-1,3))[0] next_state,