Hacker News · AI· sundw·· 1 day agoSelectedAI score60
Training Small Models for Robotic Temporal Logic Planning via Reinforcement Learning and Tool Use
From Words to Waypoints: Teaching a Small LLM to Plan for Robots
AI guide
By leveraging tool use and GRPO reinforcement learning, the authors successfully trained Qwen3.5-9B to perform robotic hierarchical path planning based on Signal Temporal Logic (STL).
Why it matters
The article demonstrates that combining geometric tools with teacher distillation prevents small models from falling into a zero-reward trap caused by geometric computation errors during RL-based planning.
Source:Hacker News · AI · daweisun.me