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..
Non-stationary Bandits with Knapsacks
Authors: Shang Liu, Jiashuo Jiang, Xiaocheng Li
NeurIPS 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Numerical experiments compare the performance of our algorithm with existing Bw K algorithms and are presented in Appendix A. |
| Researcher Affiliation | Academia | Imperial College Business School, Imperial College London NYU Stern School of Business EMAIL, EMAIL, EMAIL |
| Pseudocode | Yes | Algorithm 1 Sliding-Window UCB Algorithm for Bw K |
| Open Source Code | No | The paper mentions numerical experiments and an algorithm but does not provide any explicit statements about open-source code availability or links to repositories. |
| Open Datasets | No | The paper refers to "Numerical experiments" in Appendix A, but does not specify any publicly available datasets, provide links, or formal citations for them in the main text. |
| Dataset Splits | No | The paper mentions "Numerical experiments" but does not provide specific details on training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used for the experiments. |
| Software Dependencies | No | The paper does not mention any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes Algorithm 1 but does not provide specific details about experimental setup, such as hyperparameters or system-level training settings. |