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Improving Learnt Local MAPF Policies with Heuristic Search

Improving Learnt Local MAPF Policies with Heuristic Search

Rishi Veerapaneni
Qian Wang
Kevin Ren
Arthur Jakobsson
Jiaoyang Li
Maxim Likhachev
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Papers citing "Improving Learnt Local MAPF Policies with Heuristic Search"

5 / 5 papers shown
Title
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding
Keisuke Okumura
48
53
0
24 Nov 2022
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
Jiaoyang Li
Wheeler Ruml
Sven Koenig
32
166
0
03 Oct 2020
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses
Jiaoyang Li
Andrew Tinka
Scott Kiesel
Joseph W. Durham
T. K. S. Kumar
Sven Koenig
AI4CE
36
230
0
15 May 2020
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks
Roni Stern
Nathan R Sturtevant
Ariel Felner
Sven Koenig
Hang Ma
...
Dor Atzmon
L. Cohen
T. K. S. Kumar
Eli Boyarski
R. Barták
AI4CE
47
594
0
19 Jun 2019
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
Guillaume Sartoretti
Justin Kerr
Yunfei Shi
Glenn Wagner
T. K. S. Kumar
Sven Koenig
Howie Choset
68
311
0
10 Sep 2018