What are the differences between reinforcement learning and supervised learning?

What are the differences between reinforcement learning and supervised learning?

Reinforcement learning (RL) focuses on learning through interactions and rewards, while supervised learning uses labeled data to train models.

Can you give me an example of each?

Sure! In supervised learning, predicting house prices based on historical data is common. In RL, training a robot to navigate a maze by rewarding it for reaching the goal is an example.

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 scenarios where supervised learning is preferred?

Yes, supervised learning is preferred when you have a large amount of labeled data and need to make predictions based on that data.