2 papers
cs.LG2026
Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk
Qianli Ma, Limengxi Yue, Shuyang Xu +2
Intelligent agent interactions in real-world web environments are commonly constrained by request budgets, time delays, anti-crawling restrictions, and operational failure risks. S…
cs.AI2025
Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance Optimization
Dong Qiu, Duo Xu, Limengxi Yue
Large Language Models (LLMs) perform well in language tasks but often lack collaborative awareness and struggle to optimize global performance in multi-agent settings. We present a…