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8.3 Learning Through Trial and Error
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When you first learned to ride a bicycle, you probably fell down a few times. Each time you fell, you figured out what went wrong and tried something different next time.

Eventually, through many tries and mistakes, you learned exactly how to balance and ride confidently.

This exact process—trying different things, seeing what works, and adjusting accordingly—is called learning through trial and error. AI agents learn the same way.

How Reinforcement Learning Uses Trial and Error

In reinforcement learning, an AI agent isn't given exact instructions

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