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..
Disarmament Games With Resource
Authors: Yuan Deng, Vincent Conitzer
AAAI 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We prove NP-completeness of several formulations of the problem of achieving desirable outcomes via disarmament. We then study the case where resources can be fractionally removed, and prove a result analogous to the folk theorem that all desirable outcomes can be achieved. We show that we can approximately achieve any desirable outcome in a polynomial number of rounds, though determining whether a given outcome can be obtained in a given number of rounds remains NP-complete. |
| Researcher Affiliation | Academia | Yuan Deng, Vincent Conitzer Department of Computer Science Duke University Durham, NC 27708, USA EMAIL |
| Pseudocode | Yes | Algorithm 1: Generate on-path strategy for feasible utilities that exceed security levels |
| Open Source Code | No | The paper does not provide any statement or link indicating the availability of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not use or mention any datasets for training or evaluation. Therefore, no information on publicly available datasets is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve data splits for training, validation, or testing. Therefore, no specific data split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe any experimental setup that would require specific hardware. Therefore, no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe any implementation details that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or specific training configurations. |