Learning to Solve Hard Problems in RL for LLMs by Never Giving Up

Researchers have found that reinforcement learning training often yields significant performance gains on simple tasks while offering minimal improvement on complex problems. This disparity suggests that standard reinforcement learning techniques may struggle to help models overcome significant reasoning hurdles, highlighting a challenge in scaling model capabilities.