Reward-Adaptive Co-Evolution of Policy and Rubric.

arXiv:2610.40096v1 Announce Type: new Abstract: Rubric-based rewards provide fine-grained, interpretable supervision for open-ended reinforcement learning, where holistic scalar rewards struggle to capture multidimensional response quality. Static rubrics can