Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments

4 October 2017

Papers citing "Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments"

10 / 10 papers shown

Title
Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields Arseniy Pertzovsky Roni Stern Ariel Felner Roie Zivan AI4CE 38 0 0 28 May 2025
Direct Speech to Speech Translation: A Review Mohammad Sarim Saim Shakeel Laeeba Javed Jamaluddin Mohammad Nadeem 71 0 0 03 Mar 2025
Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding Konstantin Yakovlev Anton Andreychuk Roni Stern 61 2 0 25 Apr 2024
The Study of Highway for Lifelong Multi-Agent Path Finding Ming-feng Li Min Sun 37 2 0 09 Apr 2023
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information Mingkai Tang Boyi Liu Yuan-Zhen Li Hongji Liu M. Liu Lujia Wang 112 0 0 11 Jan 2023
Graph-Based Multi-Robot Path Finding and Planning Hang Ma AI4CE 70 32 0 22 Jun 2022
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search Taoan Huang B. Dilkina Sven Koenig 87 27 0 10 Dec 2020
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 87 239 0 15 May 2020
Searching with Consistent Prioritization for Multi-Agent Path Finding Hang Ma Daniel Harabor Peter Stuckey Jiaoyang Li Sven Koenig AI4CE 80 219 0 15 Dec 2018
Multi-Agent Path Finding with Deadlines: Preliminary Results Hang Ma Glenn Wagner Ariel Felner Jiaoyang Li T. K. S. Kumar Sven Koenig AI4CE 86 61 0 13 May 2018