What are the differences between reinforcement learning and supervised learning?

What are the differences between reinforcement learning 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 type of learning?

Sure! In supervised learning, an example is classifying emails as spam or not spam using labeled data. In reinforcement learning, an example is training a robot to navigate a maze by rewarding it for reaching the end.

Which one is better for real-time decision making?

Reinforcement learning is often better for real-time decision making as it adapts based on feedback from the environment.

Are there any specific applications for each type?

Yes! Supervised learning is used in image recognition, while reinforcement learning is used in game playing and robotics.