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..
Online Optimal Control with Affine Constraints
Authors: Yingying Li, Subhro Das, Na Li8527-8537
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Numerical Experiments In this section, we numerically test our OGD-BZ on a thermal control problem with a Heating Ventilation and Air Conditioning (HVAC) system. |
| Researcher Affiliation | Collaboration | Yingying Li,1 Subhro Das,2 Na Li1 1 John A. Paulson School of Engineering and Applied Sciences, Harvard University 2 MIT-IBM Watson AI Lab, IBM Research |
| Pseudocode | Yes | Algorithm 1: OGD-BZ |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of its source code. |
| Open Datasets | No | The paper uses a simulated thermal control problem described by linear dynamics and generates random disturbances (wt be i.i.d. generated from Unif(-2, 2)), but it does not specify a publicly available dataset or provide access information for one. |
| Dataset Splits | No | The paper describes running "1000 trials" in its numerical experiments but does not provide specific training, validation, or test dataset splits or percentages, as it describes a simulation setup rather than a dataset-based evaluation with fixed splits. |
| Hardware Specification | No | The paper does not specify any hardware details such as GPU models, CPU types, or memory used for running the experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers. |
| Experiment Setup | Yes | When applying OGD-BZ, we select H = 7 and a diminishing stepsize ηt = Θ(t^-0.5), i.e. we let ηt = 0.5(40)^-0.5 for t < 40 and ηt = 0.5(t + 1)^-0.5 for t >= 40. ... We consider v = 100, ζ = 6, θo = 30 C, π = 1.5, and let wt be i.i.d. generated from Unif(-2, 2). Besides, we consider θset = 24 C, xmin = 22 C, xmax = 26 C, umin = 0, umax = 5. We consider qt = 2 for all t and time-varying rt generated i.i.d. from Unif(0.1, 4). |