EP355: RL builds compositional reasoning strategies

Title: RL Post-Training Builds Compositional Reasoning StrategiesSource: http://arxiv.org/abs/2607.07646v1Summary:This paper provides foundational insights into how reinforcement learning post-training enables models to transition from simple skills to complex, multi-step compositional reasoning strategies. By demonstrating how RL systematically organizes and compresses primitive actions into stable, higher-level reduction procedures, it advances our theoretical understanding of reasoning emergence in advanced generative models.