AI and ML Insights: Research Highlights from June 27, 2026

RL‑Driven Agentic Optimization Training agents with only sparse rewards often yields unstable behavior. Recent work replaces explicit reward models with dense, token‑level supervision. Hindsight skill distillation supplies per‑token guidance, stabilizing learning curves [1]. A complementary “progres