Adaptation Policy
A set of rules or strategies that governs how an AI agent adjusts its behavior, plans, or parameters in response to changing conditions or feedback.
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Related terms
The ability of an AI system to dynamically adjust its level of independence based on context, objectives, risks, or human input.
Online LearningA learning approach in which an AI system continuously updates its behavior or model using newly available data during operation.
Continual LearningA learning approach in which an AI system continuously acquires new knowledge and skills over time while retaining previously learned capabilities.
Self-ImprovementThe capability of an AI system to iteratively enhance its performance or reasoning using its own outputs, feedback, or data.
Preference LearningA learning approach in which an AI system learns from preferences between possible outputs or actions to better align its behavior with desired outcomes.