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..
Three New Algorithms to Solve N-POMDPs
Authors: Yann Dujardin, Tom Dietterich, Iadine Chads
AAAI 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Complexity results are provided for each of the algorithms, and they are tested on well-known benchmarks. |
| Researcher Affiliation | Collaboration | Yann Dujardin CSIRO EMAIL Tom Dietterich School of EECS Oregon State University EMAIL Iadine Chad es CSIRO EMAIL |
| Pseudocode | Yes | Algorithm 1 α-min-2-fast |
| Open Source Code | No | The paper does not provide an explicit statement or link for the open-source code of the described methodology. |
| Open Datasets | Yes | We conducted experiments on three benchmark problems1 given an initial policy Γ provided by SARSOP and the corresponding lower bound V (b0), where b0 the initial belief (at t = 0). ... 1http://www.pomdp.org/examples/ |
| Dataset Splits | No | The paper uses benchmark problems but does not explicitly provide specific dataset split information (e.g., percentages, sample counts, or citations to predefined splits) for reproducing data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., exact GPU/CPU models, processor types, or memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper mentions 'SARSOP' as an existing POMDP solver and refers to 'mixed integer linear programs' but does not specify software names with version numbers for replication. |
| Experiment Setup | Yes | The time-horizon chosen for the experiments was T = 10. The number of β-points for αmin-2-solve was 100. |