Continual Learning
Also called: Continuous Learning, Lifelong Learning
A learning approach in which an AI system continuously acquires new knowledge and skills over time while retaining previously learned capabilities.
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Related terms
A learning approach in which an AI system continuously updates its behavior or model using newly available data during operation.
Experience ReplayA learning technique in which an AI system stores past experiences and reuses them during training to improve learning efficiency, stability, and sample utilization.
Adaptation PolicyA set of rules or strategies that governs how an AI agent adjusts its behavior, plans, or parameters in response to changing conditions or feedback.
Self-ImprovementThe capability of an AI system to iteratively enhance its performance or reasoning using its own outputs, feedback, or data.
Reinforcement LearningRLA machine learning paradigm where an agent learns to make optimal decisions by taking actions in an environment to maximize cumulative rewards.