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..
Compilation Based Approaches to Probabilistic Planning — Thesis Summary
Authors: Ran Taig
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In most benchmarks, PFF s results were improved by our results. Results for this algorithm were good but for a limited, simple, set of benchmarks. Consequently, the new planner dominates previous solvers on almost all domains and scales to instances that were not solved before. |
| Researcher Affiliation | Academia | Ran Taig Department of Computer Science Ben Gurion University of The Negev Beer-Sheva, Israel 84105 EMAIL |
| Pseudocode | No | The paper describes algorithmic ideas but does not include any structured pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement about releasing source code or provide links to a code repository for the described methodology. |
| Open Datasets | No | The paper refers to 'benchmarks' and mentions 'PFF's results' but does not provide concrete access information (link, DOI, specific citation) for a publicly available or open dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (e.g., exact percentages, sample counts, or methodology) needed to reproduce data partitioning for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide any specific hardware details (e.g., CPU/GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper mentions software like 'Metric FF' and 'off-the-shelf conformant planner' but does not provide specific version numbers for any software dependencies. |
| Experiment Setup | No | The paper describes its compilation methods conceptually but does not provide specific experimental setup details such as hyperparameter values, training configurations, or system-level settings. |