How CASCADE Enables LLM Agents to Learn from Experience During Live Deployment

The paper introduces CASCADE, a deployment‑time learning framework that lets LLM agents continuously select and reuse past cases via a contextual‑bandit approach, achieving higher long‑term success rates across diverse online tasks without updating the base model.

CASCADECase-Based ReasoningContextual Bandit

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How CASCADE Enables LLM Agents to Learn from Experience During Live Deployment