Exponential Lower Bounds for Fictitious Play in Potential Games

Authors: Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher

NeurIPS 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental In this section, we aim to experimentally validate our findings on a 4 4 payoff matrix. Our analysis focuses on three key aspects: the round in which a new strategy switch occurs, the Nash gap throughout the game, and the empirical strategy employed by the x player. We present the plot from the row player s perspective, which is identical to that of the column player.
Researcher Affiliation Academia Ioannis Panageas University of California, Irvine ipanagea@ics.uci.edu Nikolas Patris University of California, Irvine npatris@uci.edu Stratis Skoulakis LIONS, EPFL efstratios.skoulakis@epfl.ch Volkan Cevher LIONS, EPFL volkan.cevher@epfl.ch
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any concrete access to source code for the methodology described.
Open Datasets No The paper constructs a 4x4 payoff matrix for experimental validation and does not refer to an external publicly available dataset.
Dataset Splits No The paper describes a simulation on a constructed 4x4 payoff matrix and does not specify training, validation, or test dataset splits.
Hardware Specification No The paper does not provide any specific hardware details used for running its experiments.
Software Dependencies No The paper does not provide specific ancillary software details with version numbers.
Experiment Setup No The paper describes a conceptual experiment on a constructed payoff matrix but does not provide specific experimental setup details such as hyperparameters, initialization, or other configuration values.