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..
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
Authors: Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
NeurIPS 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Overall, our findings suggest that repeated strategic interactions alone cannot facilitate learning effectively enough to earn an uninformed player her Stackelberg value. and Our current setup provides information-theoretic results |
| Researcher Affiliation | Collaboration | 1UC Berkeley, EMAIL 2MIT & Archimedes AI, EMAIL |
| Pseudocode | No | The paper describes algorithms conceptually but does not include any labeled 'Pseudocode' or 'Algorithm' blocks. |
| Open Source Code | No | The paper does not contain any explicit statements about releasing source code or links to a code repository. |
| Open Datasets | No | This paper is theoretical and does not utilize datasets for training or evaluation. |
| Dataset Splits | No | This paper is theoretical and does not discuss dataset splits for validation. |
| Hardware Specification | No | This paper is theoretical and does not describe experiments, thus no hardware specifications are provided. |
| Software Dependencies | No | This paper is theoretical and does not describe experiments, thus no software dependencies with version numbers are listed. |
| Experiment Setup | No | This paper is theoretical and does not describe empirical experiments, therefore no experimental setup details like hyperparameters are provided. |