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Multi-Reward RL, Part 2: Benchmarking GRPO, DAPO, and CISPO on Unseen Tasks

Follow-up: Part 3 scales the CISPO + REPO-R recipe to Qwen3.8-27B and 600 steps , with a one-change-per-run holdout ladder and an advantage-floor failure we found in a harsher environment. Part 1 analyzed how PPO, GRPO, DAPO, and GDPO balance competing reward objectives in theory. In this follow-up…

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  1. 2026-10-06 20:25 · DEV Community — Machine Learning
    Multi-Reward RL, Part 2: Benchmarking GRPO, DAPO, and CISPO on Unseen Tasks

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