Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
tf.reduce_mean(tf.math.pow(loss,2)) grads = tape.gradient(loss, value_network.trainable_variables) optimizer.apply_gradients(zip(grads, value_network.trainable_variables)) print('Epoch {} done with loss {} !!!!!!'.format(epoch,loss)) value_network.save('keras/') if epoch%100==0: epsilon*=0.999