What are the challenges in using reinforcement learning?

What are the main challenges in using reinforcement learning?

Some main challenges include sample inefficiency, exploration vs. exploitation, and high dimensionality.

Can you explain sample inefficiency?

Sample inefficiency refers to the need for a large number of interactions with the environment to learn effectively.

How does exploration vs. exploitation affect learning?

It affects the balance between trying new actions to discover their rewards (exploration) and using known actions that yield high rewards (exploitation).

What are some strategies to overcome these challenges?

Strategies include using experience replay, implementing better exploration techniques, and leveraging transfer learning.