Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
Truncated Variance Reduced Value Iteration
Authors: Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
NeurIPS 2024 | Venue PDF | LLM Run Details | Input Tokens: 31,169 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 2,873 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 | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |
| Researcher Affiliation | Academia | Yujia Jin Stanford University EMAIL Ishani Karmarkar Stanford University EMAIL Aaron Sidford Stanford University EMAIL Jiayi Wang Stanford University EMAIL |
| Pseudocode | Yes | Algorithm 1: Sample(u, p, M, η) ... Algorithm 2: Apx Utility(u, M, η) ... Algorithm 3: TVRVI(v(0), π(0), x, α, δ) ... Algorithm 4: Offline TVRVI(ε, δ) ... Algorithm 5: Sample TVRVI(ε, δ) ... Algorithm 6: Problem Dependent TVRVI(ε, δ, V ) |
| Open Source Code | No | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |
| Open Datasets | No | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |
| Dataset Splits | No | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |
| Hardware Specification | No | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |
| Software Dependencies | No | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |
| Experiment Setup | No | The paper focuses on theoretical results and mathematical analysis and does not include experiments. |