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..
Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
Authors: Xingang Guo, Darioush Keivan, Geir Dullerud, Peter Seiler, Bin Hu
NeurIPS 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, we present the numerical study to show the effectiveness of Algorithm 1. The left plot of Figure 1 displays the relative error trajectories of Algorithm 1 with an exact oracle for system dimensions nx = {10, 50, 100}. |
| Researcher Affiliation | Academia | Xingang Guo ECE, CSL UIUC EMAIL Darioush Keivan MSE, CSL UIUC EMAIL Geir Dullerud MSE, CSL UIUC EMAIL Peter Seiler EECS UMich EMAIL Bin Hu ECE, CSL UIUC EMAIL |
| Pseudocode | Yes | Algorithm 1: Derivative-Free Methods for Policy Optimization Problem (4) |
| Open Source Code | No | The paper does not provide an explicit statement or link for open-source code for the described methodology. |
| Open Datasets | Yes | In addition, we conducted a comparison of our derivative-free method with the model-based methods HIFOO and Hinfstruct, using several benchmark examples from COMPleib [41]. |
| Dataset Splits | No | The paper does not specify training, validation, or test dataset splits. The research focuses on control synthesis rather than traditional machine learning dataset evaluation. |
| Hardware Specification | Yes | All the experiments are performed on a desktop computer with a 3.7 GHz Intel i5-9600K processor. |
| Software Dependencies | No | The paper mentions using MATLAB and specific packages (HIFOO, Hinfstruct) for comparison, but does not provide specific version numbers for the software dependencies used to run their experiments. |
| Experiment Setup | Yes | For Algorthm 1, we set η = 1 10 3, δ = 1 10 4, and ϵ = 1 10 3. |