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Distributed Heuristic Multi-Agent Path Finding with Communication

Distributed Heuristic Multi-Agent Path Finding with Communication

21 June 2021
Ziyuan Ma
Yudong Luo
Hang Ma
ArXivPDFHTML

Papers citing "Distributed Heuristic Multi-Agent Path Finding with Communication"

28 / 28 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
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
Shuhao Liao
Weihang Xia
Yuhong Cao
Weiheng Dai
Chengyang He
Wenjun Wu
Guillaume Sartoretti
AI4CE
64
1
0
10 Feb 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
37
0
0
28 Oct 2024
MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving
  Decentralized Agents in Formation
MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin
Hang Ma
29
1
0
15 Oct 2024
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT
  Outperforms Large Scale Imitation Learning for MAPF
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
Rishi Veerapaneni
Arthur Jakobsson
Kevin Ren
Samuel Kim
Jiaoyang Li
Maxim Likhachev
36
1
0
22 Sep 2024
Cooperative Reward Shaping for Multi-Agent Pathfinding
Cooperative Reward Shaping for Multi-Agent Pathfinding
Zhenyu Song
Rong-hao Zheng
Senlin Zhang
Mei-qin Liu
46
1
0
15 Jul 2024
Benchmarking Large Neighborhood Search for Multi-Agent Path Finding
Benchmarking Large Neighborhood Search for Multi-Agent Path Finding
Jiaqi Tan
Yudong Luo
Jiaoyang Li
Hang Ma
30
1
0
12 Jul 2024
LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding
LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding
Yutong Wang
Tanishq Duhan
Jiaoyang Li
Guillaume Sartoretti
AI4CE
43
1
0
28 May 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang
Federico Berto
Jinkyoo Park
43
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
37
6
0
23 Feb 2024
Decentralized Monte Carlo Tree Search for Partially Observable
  Multi-agent Pathfinding
Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding
Alexey Skrynnik
Anton Andreychuk
Konstantin Yakovlev
Aleksandr I. Panov
30
10
0
26 Dec 2023
RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem
RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem
Jianqi Gao
Yanjie Li
Xiaoqing Yang
Mingshan Tan
35
4
0
03 Nov 2023
ALPHA: Attention-based Long-horizon Pathfinding in Highly-structured
  Areas
ALPHA: Attention-based Long-horizon Pathfinding in Highly-structured Areas
Chengyang He
Tianze Yang
Tanishq Duhan
Yutong Wang
Guillaume Sartoretti
AI4CE
32
5
0
12 Oct 2023
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via
  Planning and Learning
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning
Alexey Skrynnik
Anton Andreychuk
Maria Nesterova
Konstantin Yakovlev
Aleksandr I. Panov
32
17
0
02 Oct 2023
Optimizing Crowd-Aware Multi-Agent Path Finding through Local
  Broadcasting with Graph Neural Networks
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Broadcasting with Graph Neural Networks
Phu-Cuong Pham
Aniket Bera
AI4CE
33
0
0
19 Sep 2023
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning
  Techniques for Multi-Agent Pathfinding
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
Jaeho Chung
Jamil Fayyad
Younes Al Younes
H. Najjaran
27
13
0
11 Aug 2023
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially
  Observable Multi-Agent Path Finding
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding
Qiushi Lin
Hang Ma
54
17
0
05 Jul 2023
SCRIMP: Scalable Communication for Reinforcement- and
  Imitation-Learning-Based Multi-Agent Pathfinding
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding
Yutong Wang
Bairan Xiang
Shinan Huang
Guillaume Sartoretti
34
32
0
01 Mar 2023
DMCA: Dense Multi-agent Navigation using Attention and Communication
DMCA: Dense Multi-agent Navigation using Attention and Communication
Senthil Hariharan Arul
Amrit Singh Bedi
Tianyi Zhou
40
3
0
14 Sep 2022
Graph-Based Multi-Robot Path Finding and Planning
Graph-Based Multi-Robot Path Finding and Planning
Hang Ma
AI4CE
25
28
0
22 Jun 2022
Distributed Reinforcement Learning for Robot Teams: A Review
Distributed Reinforcement Learning for Robot Teams: A Review
Yutong Wang
Mehul Damani
Pamela Wang
Yuhong Cao
Guillaume Sartoretti
47
22
0
07 Apr 2022
Multi-Agent Path Finding with Prioritized Communication Learning
Multi-Agent Path Finding with Prioritized Communication Learning
Wenhao Li
Hongjun Chen
Bo Jin
Wenzhe Tan
Hong Zha
Xiangfeng Wang
AI4CE
8
29
0
08 Feb 2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent
  Path Planning in Continuous Spaces
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Keisuke Okumura
Ryo Yonetani
Mai Nishimura
Asako Kanezaki
42
10
0
24 Jan 2022
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for
  Dynamic Crowded Environment
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
Huifeng Guan
Yuan Gao
Ming Zhao
Yong Yang
Fuqin Deng
Tin Lun Lam
29
2
0
02 Oct 2021
Learning Selective Communication for Multi-Agent Path Finding
Learning Selective Communication for Multi-Agent Path Finding
Ziyuan Ma
Yudong Luo
Jia Pan
AI4CE
39
48
0
12 Sep 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
34
87
0
29 Jun 2021
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
140
928
0
07 Jul 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
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