Optimal Dynamic Regret in LQR Control
Authors: Dheeraj Baby, Yu-Xiang Wang
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Paper of theoretical nature. |
| Researcher Affiliation | Academia | Dheeraj Baby Department of Computer Science UC Santa Barbara dheeraj@ucsb.edu Yu-Xiang Wang Department of Computer Science UC Santa Barbara yuxiangw@cs.ucsb.edu |
| Pseudocode | Yes | Figure 1: Pro DR.control: An algorithm for non-stationary and proper linear regression. Figure 2: Pro DR.control.delayed: An instance of delayed to non-delayed reduction from Joulani et al. [2013] |
| Open Source Code | No | Paper of theoretical nature. |
| Open Datasets | No | The paper is theoretical and does not involve empirical studies with datasets. The ethics checklist states: '[N/A] Paper of theoretical nature.' for questions related to experiments and data. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical studies with datasets. The ethics checklist states: '[N/A] Paper of theoretical nature.' for questions related to experiments and data. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware. The ethics checklist states: '[N/A] Paper of theoretical nature.' for questions related to experiments. |
| Software Dependencies | No | The paper is theoretical and does not describe any experiments that would require specific software dependencies with version numbers. The ethics checklist states: '[N/A] Paper of theoretical nature.' for questions related to experiments. |
| Experiment Setup | No | The paper is theoretical and does not describe any experiments with specific hyperparameters or training settings. The ethics checklist states: '[N/A] Paper of theoretical nature.' for questions related to experiments. |