Reward-rate Policy Gradient for Efficient Machine Learning Engineering Agents

Muhang Tian, Sherry Yang

Traditional reinforcement learning (RL) techniques focus on maximizing expected cumulative reward, where each action assumes to take a constant unit of time. However, this assumpti…