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 fa…
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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 fa…
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) When people ask "how was ChatGPT trained?", the answer usually involves RLHF - Rein…