Truncated Variance Reduced Value Iteration
Authors: Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| 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 yujiajin@stanford.edu Ishani Karmarkar Stanford University ishanik@stanford.edu Aaron Sidford Stanford University sdiford@stanford.edu Jiayi Wang Stanford University jyw@stanford.edu |
| 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. |