Author

Rongkun Xue

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#artificial intelligence Preprint Sep 2026

HarnessBandit: Joint Learnability-Transferability Scheduling for Multi-Harness Agentic Reinforcement Learning

Language-model agents are increasingly deployed through diverse harnesses that differ in system prompts, tool schemas, control loops, and trajectory formats. The same model can perform unevenly across these interfaces, making robustness to harness variation an important objective. A natural approach is to train a share...

Hong-Liang Wei, Xiao-Bing Tu, Yinggui Wang et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents

LLM-based agents rely on heterogeneous interaction capabilities to accomplish complex tasks. Existing approaches often distribute these capabilities across multiple LoRA adapters, which increases adapter storage requirements and introduces routing overhead during inference. A single LoRA avoids this overhead, but learn...

Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al. · 0 citations

Preprint Aug 2026

Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents

Browser agents perform well on short, clean demonstrations, but real deployment is fundamentally different: agents must sustain dozens of decisions on live websites while recovering from mistakes and navigating complex UIs. We argue that closing this gap requires alignment at every level of the pipeline, including exec...

A. Chen, Yan Cheng, Zhangye Han et al. · 1 citation