Paths to Equilibrium in Games
Authors: Bora Yongacoglu, Gurdal Arslan, Lacra Pavel, Serdar Yuksel
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We answer this question in the affirmative for normal-form games. Our analysis reveals a counterintuitive insight that reward deteriorating strategic updates are key to driving play to equilibrium along a satisficing path. We prove this result by analytically constructing a satisficing path from an arbitrary initial strategy profile to a Nash equilibrium. This paper does not contain experiments. |
| Researcher Affiliation | Academia | Bora Yongacoglu Gürdal Arslan University of Toronto University of Hawaii at Manoa bora.yongacoglu@utoronto.ca gurdal@hawaii.edu Lacra Pavel Serdar Yüksel University of Toronto Queen s University pavel@control.toronto.edu yuksel@queensu.ca |
| Pseudocode | No | The paper discusses MARL algorithms but does not provide any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The NeurIPS Paper Checklist states 'This paper does not contain experiments.' and 'The answer NA means that paper does not include experiments requiring code.' which implies no code is provided for the methodology. |
| Open Datasets | No | This paper is theoretical and does not involve the use of datasets for training or experimentation. |
| Dataset Splits | No | This paper is theoretical and does not involve the use of datasets or their validation splits. |
| Hardware Specification | No | This paper is theoretical and does not involve experiments requiring specific hardware specifications. |
| Software Dependencies | No | This paper is theoretical and does not involve experiments that would list specific software dependencies with version numbers. |
| Experiment Setup | No | This paper is theoretical and does not involve experiments requiring a specific experimental setup or hyperparameters. |