Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Improved Anonymous Multi-Agent Path Finding Algorithm
Authors: Zain Alabedeen Ali, Konstantin Yakovlev
AAAI 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Empirically, the resultant AMAPF solver demonstrates superior performance compared to the state-of-the-art competitor and is able to solve all publicly available MAPF instances from the wellknown Moving AI benchmark in less than 30 seconds. |
| Researcher Affiliation | Academia | 1 Moscow Institute of Physics and Technology, Moscow, Russia 2 Federal Research Center for Computer Science and Control of the Russian Academy of Sciences, Moscow, Russia 3 AIRI, Moscow, Russia EMAIL, EMAIL |
| Pseudocode | Yes | Algorithm 1 shows the pseudo-code of a graph traversal algorithm with our modifications. ... Algorithm 2: Generating successors |
| Open Source Code | Yes | We have implemented the improved AMAPF solver in C++4 ... 4https://github.com/Path Planning/AMAPF-MF-BS |
| Open Datasets | Yes | The MAPF maps and instances were taken from the publicly available MAPF benchmark (Stern et al. 2019). |
| Dataset Splits | No | The paper describes how instances are run with varying numbers of agents and a time limit, but does not provide specific percentages or counts for training, validation, or test dataset splits. |
| Hardware Specification | Yes | The experiments were conducted on a PC with Intel Core i7-10700F CPU @ 2.90GHz 16 and 32Gb of RAM. |
| Software Dependencies | No | We have implemented the improved AMAPF solver in C++4 ... The paper mentions C++ as the implementation language but does not provide specific software dependencies with version numbers (e.g., specific libraries, compilers, or operating systems used for development or execution). |
| Experiment Setup | No | The paper describes the test methodology including time limits and sequential scenario execution, and how different T values were explored. However, it does not specify hyperparameters or system-level training settings typically found in experimental setups for models. |