2 papers
cs.RO2026
TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning
Jiacheng Liu, Pengxiang Ding, Qihang Zhou +8
Recent Vision-Language-Action models show potential to generalize across embodiments but struggle to quickly align with a new robot's action space when high-quality demonstrations…
cs.AI2025
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models
Cheng Li, Jiexiong Liu, Yixuan Chen +2
This paper introduces KunLunBaizeRAG, a reinforcement learning-driven reasoning framework designed to enhance the reasoning capabilities of large language models (LLMs) in complex…