Individual skill

02-rl-reward

Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.

skills/openjudge-core/02-rl-reward/SKILL.md

Source commit eb34c3b94c908d875eda025e7863bc765c44ad76

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Network or broad shell

Last checked

Nov 10, 2026

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