2 papers
cs.LG2025
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Zihe Liu, Jiashun Liu, Yancheng He +13
Reinforcement learning for LLM reasoning has rapidly emerged as a prominent research area, marked by a significant surge in related studies on both algorithmic innovations and prac…
cs.RO2025
Hierarchical Sampling-based Planner with LTL Constraints and Text Prompting
Jingzhan Ge, Zi-Hao Zhang, Sheng-En Huang
This project introduces a hierarchical planner integrating Linear Temporal Logic (LTL) constraints with natural language prompting for robot motion planning. The framework decompos…