Closed Learning Loop
What is Closed Learning Loop?
A system architecture where an AI agent's actions generate feedback that is used to improve the agent's future behavior — without human intervention. The agent acts, observes outcomes, updates its internal models, and performs better next time. This is the core mechanism behind self-evolving software.
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