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Self-Improvement

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Stanford CS329A Self-Improving AI Agents | Part 4 | Learning from Feedback with Tools/Code Aug 3, 2026 · 1:11:13 This lecture covers three approaches to improving LLMs: ReAct (reasoning + tool calling), RLEF (coding agents using execution feedback), and Constitutional AI (self-critique).

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From 36% to 100%: How Self-Improving Agents Write Their Own Skills — Rafal Wilinski, Runlayer Oct 7, 2026 · 18:31 Learn how to build a self-improving company by turning agent failures into reusable skills. We discuss using MCP as the distribution layer and creating an organizational flywheel that captures hard-won knowledge. How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases Sep 26, 2026 · 17:06 ARIA, a self-improving AI agent, uses a closed-loop framework to take production traces, convert them into offline eval tasks, find bugs, write fixes, and benchmark the new version.

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