I made a video explaining RL through life decisions — would love feedback from RL people

Hi everyone,

I’m starting a YouTube collection where I explain reinforcement learning through life, philosophy, and mathematical reasoning.

The goal is not just to explain algorithms, but to build intuition for questions like:

• How does an agent learn without instructions?
• What does it mean to improve through feedback?
• Why is a policy more like a way of living than just a function?

The first episode is called Life Is Reinforcement Learning.

I’m still early and would really appreciate feedback from people who know RL:

1. Is the explanation technically accurate?
2. Does the life/philosophy analogy help or make it more confusing?
3. What topic should I cover next after the agent-environment loop?

Video: https://youtu.be/-s6V3JPl45U

Thanks!