#agent-optimization2 articles

2 articles

AINeutralarXiv – CS AI · Feb 277/106

🧠

VeRO: An Evaluation Harness for Agents to Optimize Agents

Researchers introduced VeRO (Versioning, Rewards, and Observations), a new evaluation framework for testing AI coding agents that can optimize other AI agents through iterative improvement cycles. The system provides reproducible benchmarks and structured execution traces to systematically measure how well coding agents can improve target agents' performance.

AIBullishMicrosoft Research Blog · Dec 116/103

🧠

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

Microsoft Research introduced Agent Lightning, a system that enables developers to add reinforcement learning capabilities to AI agents without requiring code rewrites. The system decouples agent functionality from training processes, converting each agent action into reinforcement learning data to improve performance with minimal code changes.