Cooperative Game Solution Concepts that Maximize Stability under Noise

Authors: Yuqian Li, Vincent Conitzer

AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We show how various conditions on the noise characterize the least core and the nucleolus as optimal. Modifying some aspects of these conditions to (arguably) make them more realistic, we obtain characterizations of new solution concepts as being optimal, including the partial nucleolus, the multiplicative least core, and the multiplicative nucleolus.
Researcher Affiliation Academia Yuqian Li and Vincent Conitzer Department of Computer Science Duke University {yuqian, conitzer}@cs.duke.edu
Pseudocode No The paper does not contain any pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any statement or link regarding the availability of open-source code for the described methodology.
Open Datasets No The paper is theoretical and does not involve empirical studies, dataset usage, or public dataset availability.
Dataset Splits No The paper is theoretical and does not involve empirical studies or dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not mention any specific hardware used for experiments.
Software Dependencies No The paper is theoretical and does not mention any specific software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations.