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..
Value-Decomposition Multi-Agent Actor-Critics
Authors: Jianyu Su, Stephen Adams, Peter Beling11352-11360
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, we benchmark VDACs against the baseline algorithms listed in Table 1 on a standardized decentralised Star Craft II micromanagement environment, SMAC (Samvelyan et al. 2019). SMAC consists of a set of Star Craft II micromanagement games that aim to evaluate how well independent agents are able to cooperate to solve complex tasks. In each scenario, algorithm-controlled ally units fight against enemy units controlled by the built-in game AI. |
| Researcher Affiliation | Academia | Jianyu Su, Stephen Adams, Peter Beling University of Virginia 151 Engineer s Way Charlottesville, Virginia, 22904 EMAIL |
| Pseudocode | Yes | The pseudo code is listed in Appendix. |
| Open Source Code | No | The paper does not contain any explicit statements or links indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | We benchmark VDACs against the baseline algorithms listed in Table 1 on a standardized decentralised Star Craft II micromanagement environment, SMAC (Samvelyan et al. 2019). |
| Dataset Splits | No | The paper does not provide specific percentages or counts for training, validation, and test dataset splits. It mentions 'evaluation episodes' but without detailed split methodology. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper mentions software frameworks and environments like 'A2C framework' and 'SMAC', but does not provide specific version numbers for any software dependencies (e.g., programming languages, libraries, or solvers). |
| Experiment Setup | Yes | Refer to Appendix for training details and map configuration. |