Artificial Intelligence, Data Science, Machine Learning, Reinforcement Learning, Programming.
np.std(discounted_rewards) # Convert the lists of states, actions, and discounted rewards to tensors states = tf.convert_to_tensor(states) actions = tf.convert_to_tensor(actions) discounted_rewards = tf.convert_to_tensor(discounted_rewards) # Train the policy network using the REINFORCE algorithm