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..
K∗ Search over Orbit Space for Top-k Planning
Authors: Michael Katz, Junkyu Lee
IJCAI 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We prove that our algorithm is sound and complete for top-k planning and empirically show it to achieve state-of-the-art performance, overtaking all existing to date top-k planners. |
| Researcher Affiliation | Industry | Michael Katz , Junkyu Lee IBM T.J. Watson Research Center, Yorktown Heights, USA EMAIL |
| Pseudocode | Yes | Algorithm 1 OK Search |
| Open Source Code | Yes | The code is available at https://github.com/IBM/kstar. |
| Open Datasets | Yes | The benchmark set consists of all benchmarks from optimal tracks of International Planning Competitions 1998-2018, a total of 1827 tasks in 65 domains. |
| Dataset Splits | No | The paper mentions using benchmarks from International Planning Competitions, but it does not specify any dataset split information (percentages, sample counts, or detailed splitting methodology) for training, validation, or testing. |
| Hardware Specification | Yes | All experiments were performed on Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz machines, with the timeout of 30 minutes and memory limit of 8GB per run. |
| Software Dependencies | No | The paper mentions using the 'Fast Downward planning system' and various heuristics (LMcut, M&S, CEGAR, i PDB), but it does not provide specific version numbers for any of these software dependencies. |
| Experiment Setup | Yes | All experiments were performed on Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz machines, with the timeout of 30 minutes and memory limit of 8GB per run. |