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2026-04-21 04:15
Self-Learning AI Agents; Architectures and Challenges
Self-learning AI agents represent a shift from static machine learning systems to adaptive, continuously evolving entities that improve through interaction with their environment. These agents operate on feedback-driven loops, where they observe inputs, take actions, receive feedback, and update their internal models accordingly. Unlike traditional systems that require retraining on new data, self...
