4 papers · 1 filter
RACER: Reinforced Agent Collaboration for Explainable Reasoning on Knowledge Graphs
Yuwei Lou, Hao Hu, Yuzhou Jiang +5
Large Language Models (LLMs) often suffer from hallucination and struggle with complex reasoning tasks requiring multi-hop domain knowledge. While integrating Knowledge Graphs (KGs…
A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems
Wen Wang, Xiangchen Wu, Liang Wang +2
The Capacitated Vehicle Routing Problem (CVRP) is a fundamental NP-hard problem with broad applications in logistics and transportation. Real-world CVRPs often involve diverse obje…
DRF: LLM-AGENT Dynamic Reputation Filtering Framework
Yuwei Lou, Hao Hu, Shaocong Ma +4
With the evolution of generative AI, multi - agent systems leveraging large - language models(LLMs) have emerged as a powerful tool for complex tasks. However, these systems face c…
Solving the Min-Max Multiple Traveling Salesmen Problem via Learning-Based Path Generation and Optimal Splitting
Wen Wang, Xiangchen Wu, Liang Wang +3
This study addresses the Min-Max Multiple Traveling Salesmen Problem (-TSP), which aims to coordinate tours for multiple salesmen such that the length of the longest tour is m…