Adaptive Reasoning and Intelligent Control in Physical AI via GRPO
This paper presents a two-phase training framework that combines Supervised Fine-Tuning (SFT) and Group Relative Policy Optimization (GRPO) to enhance reasoning and IoT control capabilities in small language models. The proposed approach enables a reasoning-enhanced model to interpret real-time sensor data and control...