arXiv cs.AI
· Papers
SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents
arXiv:2608.10157v1 Announce Type: new Abstract: Self-improving agents seek to reduce the human engineering effort behind AI systems by enabling them to evolve and self-improve their performance over time. Recently, methods like the Darwin G"odel Machine and the Huxley G"odel Machine have been proposed which enable op