midQ-Learning
What is experience replay in Q-Learning?
Updated May 17, 2026
Short answer
Experience replay stores past experiences for randomized training.
Deep explanation
It breaks correlation between sequential samples and improves data efficiency by reusing past transitions.
Real-world example
Used in robotics to learn efficiently from limited interactions.
Common mistakes
- Training only on latest transitions.
Follow-up questions
- Why shuffle experiences?
- What is replay buffer size?