Reinforcement Learning
RL
Reinforcement learning teaches an AI through rewards and penalties as it tries different actions.
Explained simply
Reinforcement learning teaches an AI through rewards and penalties as it tries different actions.
At a glance
- Category
- Models
- Difficulty
- Advanced
- Introduced
- 1950s
Real example
A game-playing AI receives a reward for winning and gradually learns better moves.
Why it matters
It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.
Timeline
The ideas behind Reinforcement Learning begin developing.
Reinforcement Learning becomes a recognised term or technique.
Research and practical applications increase.
Reinforcement Learning becomes connected to newer AI systems and products.
Reinforcement Learning remains relevant in the models area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand Reinforcement Learning.
Was this helpful?
Your feedback helps improve this explanation.