3 papers
cs.LG2026
QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents
Weiqi Wang, Yuxin Zhou, Mouxiang Chen +9
Large language model (LLM) agents increasingly undertake extreme-long (xlong) horizon tasks, where a single execution can span hours, hundreds of model--environment interactions, a…
cs.RO2026
SUN: Agentic Robot Policy Learning with Persistent Task Programs
Weiqi Wang, Zhi Li, Yudong Lei +7
Model-based control can directly execute specified objectives, while learning can amortize such behaviors into reactive policies, making their combination a natural solution to mul…
cs.AI2026
UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations
Zihan Ding, Longxu Dou, Qi Gao +26
Foundation GUI agents can automate complex digital tasks, but deployment is hindered by scarce and biased training data, ambiguous prompts, and unreliable execution. Routine workfl…