Reinforcement Learning and Deep RL Python Theory and Projects - Why Deep Learning

The video tutorial introduces reinforcement learning and transitions to deep reinforcement learning. It emphasizes the need to understand deep learning first, as it is crucial for mastering deep reinforcement learning. The tutorial explains the necessity of deep reinforcement learning in handling complex tasks with large action spaces, such as autonomous driving, where simple reinforcement learning falls short.

How does the need for deep reinforcement learning differ from traditional reinforcement learning?

What challenges arise when dealing with infinite action spaces in reinforcement learning?