AI engineering glossary · Reinforcement learning
What is imitation learning?
Imitation learning: Learning a decision rule from demonstrations by an expert rather than from a reward signal. It is useful when scores are hard to specify but good examples are available, though it may fail in situations the expert never showed.
Imitation learning: an example
Learn to drive from 50 hours of recorded steering and speed by human drivers.
Related terms
More Reinforcement learning terms
- Importance sampling ratio
- Intrinsic motivation
- Inverse reinforcement learning
- Markov decision process
- Maximum entropy reinforcement learning
- Model predictive control
- Model-based
- Model-free
Where you learn it
Imitation learning is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.