Paper: RRSI — adding regularization to recursive self-improvement of agents
HuaxiuYaoML · x · 2026-09-23
New work RRSI (Regularized Recursive Self-Improvement of Agent Harnesses) argues that while RSI is transforming how AI agents evolve, it also needs regularization to keep the improvement process stable and controlled.
Related event: Google's RRSI regularizes recursive self-improvement of agent harnesses(4 posts)→
More from coding & agent
- Stripe demos WebMCP integration: a deep dive through a checkout page's new tools — jeff_weinstein · 2026-09-23
- Building AI agent harnesses that improve across 6 editable control dimensions — MaryamMiradi · 2026-09-23
- Drop launches: rootless Linux sandbox that isolates coding agents at the OS level — aronchick · 2026-09-23
- Splitting Reasoning From Tool Use: Two Lightweight AI Models Screen 30,000 Crystal Candidates in 48 Hours — bravo_abad · 2026-09-23
- Sentry Bets Big on Evals: 1,800 PR-Triggered Runs, 20-50% Token Cost Cuts — zeeg · 2026-09-23
- MiMo-V2.6-Flash Tool-Call Failures Are vLLM Bugs: Empty Streaming Replies, Lost Reasoning, Hidden 2048-Token Cap — mamolengo · 2026-09-23