Decentralised Multi Agent Path Finding

Decentralised Multi Agent Path Finding Information Guide

1. Overview on Decentralised Multi Agent Path Finding
2. Core Information
3. Latest News
4. Full Guide
5. Future Outlook

Overview on Decentralised Multi Agent Path Finding

Intuition and results of PRIMAL_vel, introduced in the ME5001 (master's) project “ Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable Presented at the 2021 AI for Urban Mobility Workshop, co-located with AAAI Jonathan Morag, Roni ... The video that describes my research about the Real Time We present background and detailed overview of the Windowed Anytime This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ...

Decentralized Multi-agent Path Planning for Time-varying Disjoint Networks ABSTRACT Effective communication is key to successful,

Core Information

Latest News

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Real Time Multi Agent Path Finding

X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs - Full

Upgrading Multi-Agent Pathfinding for the Real World

Decentralized Multi-agent Path Planning for Time-varying Disjoint Networks

Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots

Graph Neural Networks for Decentralized Multi Agent Path Planning [Video demo for IROS2020]

Soft Actor-Critic for Decentralized Multi-Agent Path Finding

Tesshu Hanaka: Multi Agent Path Finding with Crossing Cost

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: June 12, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.