What is the main advantage of "Reinforcement Learning with Deep Q-Networks (DQN)" over traditional Q-learning?

• A) Ability to handle large state spaces by approximating the Q-value function with a deep neural network
• B) Use of Monte Carlo methods for estimating future rewards
• C) Application of linear regression to predict action values
• D) Increased training speed by reducing the number of episodes