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..
Proximal Operators for Multi-Agent Path Planning
Authors: Jose Bento, Nate Derbinsky, Charles Mathy, Jonathan Yedidia
AAAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we report the performance of the new operators in several numerical experiments. |
| Researcher Affiliation | Collaboration | Jose Bento Boston College EMAIL Nate Derbinsky Wentworth Institute of Technology EMAIL Charles Mathy Disney Research Boston EMAIL Jonathan S. Yedidia Disney Research Boston EMAIL |
| Pseudocode | No | No, the paper does not contain any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | No, the paper does not provide a direct link to open-source code or explicitly state that the code is publicly available. |
| Open Datasets | No | No, the paper describes a custom scenario setup for experiments but does not provide access information (link, DOI, etc.) for a publicly available or open dataset. |
| Dataset Splits | No | No, the paper does not provide specific training/validation/test dataset splits. It describes experimental scenarios and reports performance metrics but not data partitioning details. |
| Hardware Specification | Yes | We gathered all results with a Java implementation of the ADMM and the TWA as described in Bento et al. (2013; see Appendix ??) using JDK7 and Ubuntu v12.04 run on a desktop machine with 2.4GHz cores. |
| Software Dependencies | Yes | We gathered all results with a Java implementation of the ADMM and the TWA as described in Bento et al. (2013; see Appendix ??) using JDK7 and Ubuntu v12.04 run on a desktop machine with 2.4GHz cores. |
| Experiment Setup | Yes | We run the TWA using OLD on the 2D scenario called CONF1 in Bento et al. (2013) with p = 8 agents of radius r = 0.918, equally spaced around a circle of radius R = 3, each required to exchange position with the corresponding antipodal agent (cf. Fig. 1-(a)). |