GLOSSARY TERM
What is Deep Q-Network?
An algorithmic framework combining deep learning with Q-learning reinforcement.
DQNs utilize deep neural networks to approximate the optimal action-value function in reinforcement learning. By leveraging experience replay and target networks, they stabilize the training of agents in complex, high-dimensional environments.
Autonomous Operations
Implement intelligent, self-optimizing agents in your operational workflows.