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RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem

RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem

3 November 2023
Jianqi Gao
Yanjie Li
Xiaoqing Yang
Mingshan Tan
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Papers citing "RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem"

4 / 4 papers shown
Title
LLMDR: LLM-Driven Deadlock Detection and Resolution in Multi-Agent Pathfinding
Seungbae Seo
Junghwan Kim
Minjeong Shin
Bongwon Suh
38
0
0
02 Mar 2025
Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong
  Multi-Agent Path Finding
Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
He Jiang
Yutong Wang
Rishi Veerapaneni
Tanishq Duhan
Guillaume Sartoretti
Jiaoyang Li
30
0
0
28 Oct 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang
Federico Berto
Jinkyoo Park
26
4
0
12 Mar 2024
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent
  Pathfinding
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
Huijie Tang
Federico Berto
Zihan Ma
Chuanbo Hua
Kyuree Ahn
Jinkyoo Park
32
6
0
23 Feb 2024
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