What is the difference between reinforcement and supervised learning?

What is the difference between reinforcement and supervised learning?

Reinforcement learning focuses on learning through rewards and punishments, while supervised learning uses labeled data to train models.

Can you give me an example of each?

Sure! In supervised learning, a model might learn to classify emails as spam or not using labeled examples. In reinforcement learning, a robot learns to navigate a maze by receiving rewards for reaching the end.

Which one is better for real-world applications?

It depends on the application. Supervised learning is great for tasks with labeled data, while reinforcement learning excels in dynamic environments where the model learns from interactions.

Are there any hybrid approaches?

Yes, hybrid approaches like deep reinforcement learning combine elements of both to tackle complex problems, leveraging the strengths of each.