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Reinforcement Learning
Introduction
Simulation
Where Do We Go From Here?
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Reinforcement LearningWhere Do We Go From Here?

Reading time: ~5 min

You've just seen firsthand how powerful a few simple rules can be. By letting our agent freely explore, take actions, and collect rewards, it eventually figured out how to conquer its entire environment from scratch.

This isn't just a gimmick for simple maze games. This exact loop of is what powers modern self-driving cars, the robotics that sort our global shipping warehouses, and the groundbreaking AI models that have defeated world champions at complex strategy games!

Your Main Takeaway: Reinforcement learning proves that you don't always have to program an explicitly perfect solution line-by-line. Sometimes, the most resilient way to solve a complex problem is to build a reward system and let the computer teach itself.

Congratulations on finishing this chapter! You are now equipped with the intuition behind one of the most exciting, futuristic frontiers in all of computer science.

Sina