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Reinforcement Learning · advanced · concept 190 of 311 · Updated Nov 4, 2026

Imitation Learning

Imitation learning teaches a system by showing it examples of an expert doing the task rather than defining a reward. It is often the fastest route to a working robot skill. The classic weakness is drift: once the system strays from what it saw, it has no idea how to recover, so newer methods keep collecting corrections from the expert.

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Key terms

Behavior cloningDistribution shiftDAggerDemonstrationsInverse RL

Where you meet it in the real world

Robot manipulation, driving, teaching agents from recorded human workflows