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 Shift Toward Open and Reproducible AI Research," Under Review, 2026. doi: 10.48550/arXiv.2606.16974..
Sample-Efficient Constrained Reinforcement Learning with General Parameterization
Authors: Washim Mondal, Vaneet Aggarwal
NeurIPS 2024 | Venue PDF | LLM Run Details | Input Tokens: 27,676 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 3,078 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our paper is primarily of theoretical nature and does not include experiments. |
| Researcher Affiliation | Academia | Washim Uddin Mondal Department of Electrical Engineering Indian Institute of Technology Kanpur Kanpur, UP, India 208016 EMAIL Vaneet Aggarwal School of IE and ECE Purdue University West Lafayette, IN, USA 47906 EMAIL |
| Pseudocode | Yes | Algorithm 1 Unbiased Sampling and Algorithm 2 Primal-Dual Accelerated Natural Policy Gradient (PD-ANPG) are provided in the paper. |
| Open Source Code | No | Our paper is primarily of theoretical nature and does not include experiments. |
| Open Datasets | No | Our paper is primarily of theoretical nature and does not include experiments. |
| Dataset Splits | No | Our paper is primarily of theoretical nature and does not include experiments. |
| Hardware Specification | No | Our paper is primarily of theoretical nature and does not include experiments. |
| Software Dependencies | No | Our paper is primarily of theoretical nature and does not include experiments. |
| Experiment Setup | No | Our paper is primarily of theoretical nature and does not include experiments. |