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 Shift Toward Open and Reproducible AI Research," Under Review, 2026. doi: 10.48550/arXiv.2606.16974..
Structural Results for Cooperative Decentralized Control Models
Authors: Jilles Steeve Dibangoye, Olivier Buffet, Olivier Simonin
IJCAI 2015 | Venue PDF | LLM Run Details | Input Tokens: 16,156 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 3,179 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This paper introduces a general methodology structural analysis for the design of optimality-preserving concise policies and value functions, which will eventually lead to the development of ef๏ฌcient theory and algorithms. |
| Researcher Affiliation | Academia | Jilles S. Dibangoye Inria CITI Lyon, France EMAIL Olivier Buffet Inria Nancy, France EMAIL Olivier Simonin Inria CITI Lyon, France EMAIL |
| Pseudocode | Yes | Algorithm 1: The OHSVI algorithm. and Algorithm 2: The Structural Analysis. |
| Open Source Code | No | The paper does not provide any explicit statements about releasing source code or links to a code repository. |
| Open Datasets | No | The paper is theoretical and does not describe experiments using a publicly available dataset with concrete access information. It refers to |
| Dataset Splits | No | The paper is theoretical and does not conduct empirical experiments with datasets, thus no training/validation/test splits are mentioned. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware specifications. |
| Software Dependencies | No | The paper is theoretical and discusses algorithms and analysis. It does not provide details on specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and focuses on methodology and structural analysis. It does not describe an experimental setup with specific hyperparameters or training configurations. |