Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning.
- DOI
- 10.1109/tnnls.2026.3673692
- Published
- 2026-09-01
- Container
- IEEE Trans Neural Netw Learn Syst
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3673692,
title = {Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning.},
author = {Kong H and Xing Q and Wang Q and Chen H and Niu R and Duan Z and Wang S and Chang Y and King I.},
year = {2026},
journal = {IEEE Trans Neural Netw Learn Syst},
doi = {10.1109/tnnls.2026.3673692},
url = {https://doi.org/10.1109/tnnls.2026.3673692}
}RIS
TY - JOUR TI - Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning. AU - Kong H AU - Xing Q AU - Wang Q AU - Chen H AU - Niu R AU - Duan Z AU - Wang S AU - Chang Y AU - King I. PY - 2026 JO - IEEE Trans Neural Netw Learn Syst DO - 10.1109/tnnls.2026.3673692 UR - https://doi.org/10.1109/tnnls.2026.3673692 ER -
APA
H, K., Q, X., Q, W., H, C., R, N., Z, D., S, W., Y, C., & I., K. (2026). Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning.. IEEE Trans Neural Netw Learn Syst. https://doi.org/10.1109/tnnls.2026.3673692
Source records
- europe-pmc · retrieved 2026-09-25T11:30:33.534Z