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..
Finding Options that Minimize Planning Time
Authors: Yuu Jinnai, David Abel, David Hershkowitz, Michael Littman, George Konidaris
ICML 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we empirically evaluate the performance of two heuristic approaches for option discovery, betweenness options (S ims ek & Barto, 2009) and Eigenoptions (Machado et al., 2017), against the proposed approximation algorithms and the optimal options in standard grid domains. |
| Researcher Affiliation | Academia | Yuu Jinnai 1 David Abel 1 D Ellis Hershkowitz 2 Michael L. Littman 1 George Konidaris 1 1Brown University, Providence, RI, United States 2Carnegie Mellon University, Pittsburgh, PA, United States. Correspondence to: Yuu Jinnai <yuu EMAIL>. |
| Pseudocode | No | The paper describes algorithms (A-MOMI, A-MIMO) but does not provide them in a formal pseudocode block. |
| Open Source Code | No | The paper does not provide explicit statements about the release of source code or links to a repository for the described methodology. |
| Open Datasets | No | The paper mentions "an 11 x 11 four-room domain and a 9 x 9 grid world" which are standard experimental setups but does not cite a specific public dataset or provide access details. |
| Dataset Splits | No | The paper does not explicitly provide training/test/validation dataset splits. It describes grid-based domains without specifying how data was partitioned. |
| Hardware Specification | No | The paper does not specify the hardware used to run the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes the grid domains and the goal but does not provide specific experimental setup details such as hyperparameters or system-level training settings. |