Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
model.trainable_variables) optimizer.apply_gradients(zip(grads, model.trainable_variables)) print('Episode {} done with loss {} !!!!!!'.format(episode, loss)) if loss<min_loss: min_loss = loss model.save('blackjack/') The loop starts off with training for 5000 episodes For every episode: Reset