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 trial and error, 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. In reinforcement learning, an example is training a robot to navigate a maze.

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 where one is preferred over the other?

Yes, reinforcement learning is preferred in robotics and game playing, while supervised learning is commonly used in image recognition and medical diagnosis.