rstar2-agent-reasoning

Train efficient 14B-parameter agents via GRPO with resample-on-correct rollout strategy and Python code execution, achieving state-of-the-art reasoning through autonomous exploration and iterative refinement

Independent GitHub snapshot · Automated classification · Original documentation governs