Rubric-based reinforcement learning (RL) trains policies for open-ended generation with natural-language criteria as rewards, but these rewards can become ineffective as training progresses. We identi
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HarnessRL: Co-Evolving Policies with a Just-in-Time Training Harness for Open-Ended RL was first seen on Hugging Face · Daily papers on Oct 21, 2026. Since then it appeared in 9 hourly checks across 2 days, peaking at #20 on Oct 22, 01:18 UTC. It was last on the list on Oct 22, 01:18 UTC.
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