Sherry Yang

Reward-rate Policy Gradient for Efficient Machine Learning Engineering Agents

This work proposes Reward-rate Policy Gradient (RPG), a practical solution for optimizing performance under wait time considerations in modern agentic RL tasks, where actions interact with external environments and cost time.