Model Adaptation · Software component
Behavior Cloning Trainer
Software componentModel AdaptationModelsarc:BehaviorCloningTrainer
An imitation learner that trains a policy by supervised learning to predict the expert's action for each demonstrated state.
Responsibility. Fits a policy to expert state-action pairs by supervised learning.
Also known as: Behavior cloning
Variant of Imitation Learner abstract
When to choose. Choose when demonstrations comprehensively cover deployment situations, the expert is consistent, and decision sequences are short enough that errors do not compound.
Relationships
reads dependency
alternative to variability
Design guidance
- SHOULD NOT be relied on alone for long sequential tasks where small errors compound into states absent from demonstrations (distribution shift).
Quantitative guidance
As stated by the sources; verify before use.
- A cloned driving policy with 95% steering-mimicry accuracy can still fail catastrophically from distribution shift (Ch5.12).
Classification
- Patterns
- Supervised imitation
Sources
- Ch5.12: T. Nguyen, "Learning-Based Decision Making Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.12. ISBN: 9798244538229.