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..
Unveiling Options with Neural Network Decomposition
Authors: Mahdi Alikhasi, Levi Lelis
ICLR 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Empirical results in two grid-world domains where exploration can be difficult confirm that our method can identify useful options, thereby accelerating the learning process on similar but different tasks. |
| Researcher Affiliation | Academia | Mahdi Alikhasi and Levi H. S. Lelis Amii, Department of Computing Science, University of Alberta EMAIL |
| Pseudocode | Yes | Algorithm 1 COMPUTE-LOSS |
| Open Source Code | Yes | The implementation used in our experiments is available online.1 1https://github.com/lelis-research/Dec-Options |
| Open Datasets | Yes | Mini Grid (Chevalier-Boisvert et al., 2023) |
| Dataset Splits | No | The paper mentions using training and validation sets but does not provide specific details on the split percentages or how the data is partitioned for these sets. |
| Hardware Specification | No | The paper mentions support from 'Digital Research Alliance of Canada' but does not provide specific hardware details such as GPU or CPU models used for the experiments. |
| Software Dependencies | No | The paper mentions using 'Stable-baselines framework (Raffin et al., 2021)' but does not provide specific version numbers for this or other software dependencies. |
| Experiment Setup | Yes | Additional details, including agent architectures, hyperparameter settings, and used libraries are provided in the Appendix. |