What are some common misconceptions about reinforcement learning?

What are some common misconceptions about reinforcement learning?

One common misconception is that reinforcement learning is only about rewards. It's also about learning from negative feedback.

Can you explain how negative feedback works in reinforcement learning?

Sure! Negative feedback helps the agent understand what actions to avoid, guiding it towards better decision-making.

Are there any misconceptions about the complexity of reinforcement learning?

Yes, many think it's overly complex, but there are simpler algorithms that can effectively solve problems.

What about the idea that reinforcement learning requires a lot of data?

That's another misconception. While more data can help, some algorithms can learn effectively with limited data.