Constrained Pure Nash Equilibria in Polymatrix Games

Authors: Sunil Simon, Dominik Wojtczak

AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We study the problem of checking for the existence of constrained pure Nash equilibria in a subclass of polymatrix games defined on weighted directed graphs... We identify the most natural tractable cases and show NP or co NP-completness of these problems already for unweighted DAGs. (from Abstract) Additionally, the paper includes structured algorithms such as "Algorithm 1: Algorithm for NE for graphs with two colours and monochromatic queries."
Researcher Affiliation Academia Sunil Simon IIT Kanpur Kanpur, India Dominik Wojtczak University of Liverpool Liverpool, U.K.
Pseudocode Yes Algorithm 1: Algorithm for NE for graphs with two colours and monochromatic queries. Algorithm 2: Algorithm for NE on graphs with two colours and monochromatic queries. Algorithm 3: NE on a simple cycle Algorithm 4: NE on a simple cycle Algorithm 5: Algorithm for NE on unweighted DAGs with out-degree 1. Algorithm 6: Algorithm for NE on unweighted DAGs with out-degree 1.
Open Source Code No The paper does not provide any links to open-source code or explicitly state that code for the described methodology is publicly available.
Open Datasets No This paper is theoretical and does not involve the use of datasets for training or evaluation. Therefore, no information about public dataset availability is provided.
Dataset Splits No This paper is theoretical and does not involve empirical experiments with datasets, thus no information on training, validation, or test splits is provided.
Hardware Specification No The paper does not provide any specific details about the hardware used, as it focuses on theoretical analysis and algorithm design without empirical experiments.
Software Dependencies No The paper does not specify any software dependencies with version numbers required to reproduce the work.
Experiment Setup No This paper is theoretical and does not describe an experimental setup with hyperparameters or system-level training settings.