What is a Deep Q-Network (DQN)?
Deep Q-Network (DQN) is a
reinforcement learning algorithm that combines the Q-learning algorithm with deep
neural networks. DQN is used to learn action-value functions that estimate the expected future rewards for each action in a given state. DQN has been successful in solving complex
reinforcement learning tasks, including playing video games.
