Independent reproduction of "Reward-free Alignment for Conflicting Objectives"
(RACO) for the ICML-2026 Agent Reproducibility Challenge. No official code exists;
everything here is implemented from the paper (Algorithm 1, Appendix B.1).
src/moo.py CAGrad, CAGrad-Clip (RACO), MGDA, weighted-sum + Appendix-B.1 closed form
src/synthetic.py high-dim conflicting-quadratics problem (Exp B/C)… See the full description on the dataset page:
https://huggingface.co/datasets/ai-sherpa/raco-repro-bundle.
