Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Convergence of Learning Dynamics in Information Retrieval Games
Authors: Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz1780-1787
AAAI 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We prove that under the probability ranking principle (PRP), which forms the basis of the current state-of-the-art ranking methods, any better-response learning dynamics converges to a pure Nash equilibrium. We also show that other ranking methods induce a strategic environment under which such a convergence may not occur. Our main result proves that under the PRP, any better-response learning dynamics converges to a pure Nash equilibrium. |
| Researcher Affiliation | Academia | Omer Ben-Porat, Itay Rosenberg, Tennenholtz Technion Israel Institute of Technology Haifa 32000 Israel {omerbp@campus, itayrose@campus, moshet@ie}.technion.ac.il |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper describes theoretical work and does not use datasets for training or evaluation. |
| Dataset Splits | No | The paper describes theoretical work and does not use datasets for validation. |
| Hardware Specification | No | The paper describes theoretical work and does not mention any hardware specifications. |
| Software Dependencies | No | The paper describes theoretical work and does not mention any software dependencies with version numbers. |
| Experiment Setup | No | The paper describes theoretical work and does not detail any experimental setup or hyperparameters. |