RL Optimization — 2 Technical Articles

Oct 31, 2025 · Artificial Intelligence

Unlocking LLM RL Scaling: The Best Practices from Meta’s New Study

Meta’s recent paper reveals a sigmoid‑shaped scaling law for LLM reinforcement learning, presents extensive 40‑k GPU‑hour experiments, compares various RL designs such as PPO‑off‑policy‑k and Pipeline‑RL‑k, and distills the findings into a practical “ScaleRL” recipe that improves performance and efficiency.

LLMRL OptimizationScaling Law

0 likes · 10 min read

Unlocking LLM RL Scaling: The Best Practices from Meta’s New Study

Data Party THU

Oct 20, 2025 · Artificial Intelligence

How Agentic RL Enables a 14B LLM to Outperform Giant Models – Inside rStar2‑Agent

This article analyzes the rStar2‑Agent paper, revealing how Agentic Reinforcement Learning, the GRPO‑RoC algorithm, a high‑throughput code‑execution service, and a three‑stage training recipe let a modest 14‑billion‑parameter model surpass much larger LLMs on challenging math benchmarks.

AI researchAgentic Reinforcement LearningArtificial Intelligence

0 likes · 18 min read

How Agentic RL Enables a 14B LLM to Outperform Giant Models – Inside rStar2‑Agent