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..
Accelerating Value Iteration with Anchoring
Authors: Jongmin Lee, Ernest Ryu
NeurIPS 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our work focuses on the theoretical aspects of reinforcement learning. There are no negative social impacts that we anticipate from our theoretical results. |
| Researcher Affiliation | Academia | Jongmin Lee1 Ernest K. Ryu1,2 1Department of Mathematical Science, Seoul National University 2Interdisciplinary Program in Artificial Intelligence, Seoul National University |
| Pseudocode | No | The paper describes algorithms (Anc-VI, Apx-Anc-VI, GS-Anc-VI) through mathematical equations and definitions but does not include any explicitly labeled 'Pseudocode' or 'Algorithm' blocks. |
| Open Source Code | No | The paper is theoretical and does not mention providing any open-source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not describe any experimental setup involving datasets or their public availability. |
| Dataset Splits | No | The paper is theoretical and does not describe dataset splits for validation purposes. There are no experiments conducted with data. |
| Hardware Specification | No | The paper is theoretical and does not mention any hardware specifications used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention any software dependencies for experimental setup. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup, hyperparameters, or training configurations. |