spark-policy-reward-co-evolution

Train LLMs to simultaneously act as reasoning agents and reward models through recycled on-policy rollouts, eliminating separate reward infrastructure while achieving 9.7% gains on reasoning tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs