midQ-Learning
What is Double Q-Learning?
Updated May 17, 2026
Short answer
It reduces overestimation by decoupling action selection and evaluation.
Deep explanation
Two Q-functions are used: one selects actions, the other evaluates them, reducing bias.
Real-world example
Used in recommendation systems to reduce optimistic predictions.
Common mistakes
- Using same network for both roles.
Follow-up questions
- How many networks are used?
- What problem does it solve?