Also known as: DQN Β· Deep Q Network
DQN (Deep Q-Network) is a reinforcement learning model that uses a deep neural network to estimate Q-functions. It predicts the expected value of actions in a given state and is often described as a critic in Q-learning architectures.
In Q-learning, a deep neural network that predicts Q-functions. Critic is a synonym for Deep Q-Network.