Congestion Games with Distance-Based Strict Uncertainty

Authors: Reshef Meir, David Parkes

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

Reproducibility Variable Result LLM Response
Research Type Theoretical We put forward a new model of congestion games... we model agents who either minimize their worst-case cost (WCC) or their worstcase regret (WCR), and study implications on equilibrium existence, convergence through adaptive play, and efficiency.
Researcher Affiliation Academia Reshef Meir and David Parkes Harvard University
Pseudocode No No pseudocode or clearly labeled algorithm block found in the paper.
Open Source Code No The paper does not provide any link or explicit statement about the availability of open-source code for the described methodology. It only mentions 'Due to space constraints most of our proofs are omitted, and are available in the full version of this paper.2http://arxiv.org/abs/1411.4943'.
Open Datasets No The paper is theoretical and does not use or refer to datasets for empirical evaluation.
Dataset Splits No The paper is theoretical and does not describe experimental validation using dataset splits.
Hardware Specification No The paper is theoretical and does not describe any hardware used for experiments.
Software Dependencies No The paper is theoretical and does not mention any software dependencies with specific version numbers.
Experiment Setup No The paper is theoretical and does not describe an experimental setup with hyperparameters or system-level training settings.