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AI GLOSSARY

Imitation Learning

Learning Paradigms

A training approach where a model learns to perform a task by observing and mimicking demonstrations from an expert, rather than learning from explicit reward signals. The simplest form, behavioral cloning, treats these demonstrations as supervised learning examples. Imitation learning is widely used in robotics and autonomous systems, where defining a reward function is difficult but demonstrations are relatively easy to collect.
See also: reinforcement learning, supervised learning, embodied AI.

External reference