RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning

Aleksei Arzhantsev, Otmane Sakhi, Flavian Vasile

Reinforcement learning (RL) is central to improving reasoning in large language models (LLMs) but typically requires ground-truth rewards. Test-Time Reinforcement Learning (TTRL) r…