Reward-Quality Divergence (RQD): Code, Saved Runs and Analysis Scripts (Anonymous Review Artifact)
Anonymous review artifact for the paper Reward-Quality Divergence: Telling Judge Gaming from Judge Error in Visual RL. Please do not try to identify the authors. RQD measures the gap between a judge's reward and an anchor-based quality score during reinforcement learning, subtracts the gap that exists before training (...