EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning

Weiyuan Li, Aili Chen, Xintao Wang +11

Open-ended reinforcement learning often relies on rubric-based rewards for tasks without directly verifiable answers. Yet the policy and reward system form a dynamic feedback loop:…