Agents
60d agoRSEA Agents Evolve via Held-Out Selection
A three-layer natural-language state allows RSEA agents to rewrite their own strategies and playbooks without updating model weights. The system commits new candidates only after passing a strict keep-better gate on a disjoint held-out split. This prevents the overfitting common in self-evolving agents.
The Signal
Practitioners gain a more robust framework for iterative agent improvement.