Exploration-Distillation aims to unlock aggressive exploration in reinforcement learning

A post announces Exploration-Distillation as a reinforcement-learning framework and claims it enables aggressive exploration and large performance boosts over standard algorithms like DAPO. The author argues that language models could, in principle, discover new things during reinforcement learning, but existing algorithms struggle.