What is overfitting in Deep Q-Networks and how can it be prevented?

Overfitting in DQN occurs when the model memorizes specific transitions instead of generalizing.

DQN can overfit to replay buffer data, especially if diversity is low. Techniques like dropout, regularization, larger replay buffers, and exploration strategies help improve generalization.