RSIAgent: Training-Free Self-Improvement Beats GPT-6 with Open Models

The RSIAgent paper introduces a training-free self-improvement framework where a curriculum agent generates practice tasks for broad-then-deep exploration, lifting agent success rates from 56.5% to 74.5% and enabling open-source models to outperform GPT-6 and other closed models in unfamiliar environments.

2026-09-24 ~ 2026-09-25 · 3 related posts

• RSIAgent: Zero Training, Just Environment Exploration Beats GPT-6 on Agent Benchmarks — 大模型之路 · 2026-09-24
• RSIAgent Study: Broad-Then-Deep Exploration Lifts Agent Success From 56.5% to 74.5% — rohanpaul_ai · 2026-09-25
• RSIAgent Paper: Training-Free Self-Improvement Lets Kimi-K3 and GLM-5.3 Beat GPT-6 — rohanpaul_ai · 2026-09-25