Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model.
- DOI
- 10.1109/tnnls.2026.3722047
- Published
- 2026 Aug 24
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3722047,
title = {Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model.},
author = {Pu Z and Liu B and Wang S and Ma H and Chen M and Pan Y},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3722047},
url = {https://doi.org/10.1109/tnnls.2026.3722047}
}RIS
TY - JOUR TI - Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model. AU - Pu Z AU - Liu B AU - Wang S AU - Ma H AU - Chen M AU - Pan Y PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3722047 UR - https://doi.org/10.1109/tnnls.2026.3722047 ER -
APA
Z, P., B, L., S, W., H, M., M, C., & Y, P. (2026). Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3722047
Source records
- pubmed · retrieved 2026-09-25T17:18:49.543Z