juniorQ-Learning
What is learning rate in Q-Learning?
Updated May 17, 2026
Short answer
Learning rate controls how much new information overrides old values.
Deep explanation
A higher alpha makes learning faster but unstable; lower alpha ensures stability but slow convergence.
Real-world example
Used in adaptive game bots adjusting difficulty learning speed.
Common mistakes
- Using constant high learning rate causing oscillations.
Follow-up questions
- Should learning rate decay?