Multi-Harness Reinforcement Learning for Coding Agents: Training Gains and Harness Dependence
Recent systems train coding agents with reinforcement learning (RL) on trajectories collected through multiple execution harnesses. However, gains under the training harnesses leave open whether the improvements transfer to unseen interfaces and how they depend on reward normalization. We present a controlled study tha...