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Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings:
  Research Challenges and Opportunities

Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities

24 April 2024
He Jiang
Yulun Zhang
Rishi Veerapaneni
Jiaoyang Li
    AI4CE
ArXivPDFHTML

Papers citing "Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities"

5 / 5 papers shown
Title
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
63
0
0
28 Oct 2024
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Yulun Zhang
He Jiang
Varun Bhatt
Stefanos Nikolaidis
Jiaoyang Li
43
9
0
02 Feb 2024
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Yulun Zhang
Matthew C. Fontaine
Varun Bhatt
Stefanos Nikolaidis
Jiaoyang Li
60
9
0
28 Oct 2023
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent
  Learning -- Lifelong
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani
Zhiyao Luo
Emerson Wenzel
Guillaume Sartoretti
AI4CE
102
121
0
16 Oct 2020
X*: Anytime Multi-Agent Path Finding for Sparse Domains using
  Window-Based Iterative Repairs
X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs
Kyle Vedder
Joydeep Biswas
30
17
0
30 Nov 2018
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