Safe Reinforcement Learning for Nonlinear Multiagent Systems Based on Min--Max DMPC
- DOI
- 10.1109/tcyb.2026.3679663
- Published
- 2026-09
- Container
- IEEE Transactions on Cybernetics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2026.3679663,
title = {Safe Reinforcement Learning for Nonlinear Multiagent Systems Based on Min--Max DMPC},
author = {Yang Peng and Huaicheng Yan and Qiwei Liu and Haining Yan and Yuanyi Zheng and Youmin Zhang},
year = {2026},
journal = {IEEE Transactions on Cybernetics},
doi = {10.1109/tcyb.2026.3679663},
url = {https://doi.org/10.1109/tcyb.2026.3679663}
}RIS
TY - JOUR TI - Safe Reinforcement Learning for Nonlinear Multiagent Systems Based on Min--Max DMPC AU - Yang Peng AU - Huaicheng Yan AU - Qiwei Liu AU - Haining Yan AU - Yuanyi Zheng AU - Youmin Zhang PY - 2026 JO - IEEE Transactions on Cybernetics DO - 10.1109/tcyb.2026.3679663 UR - https://doi.org/10.1109/tcyb.2026.3679663 ER -
APA
Peng, Y., Yan, H., Liu, Q., Yan, H., Zheng, Y., & Zhang, Y. (2026). Safe Reinforcement Learning for Nonlinear Multiagent Systems Based on Min--Max DMPC. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2026.3679663
Source records
- crossref · retrieved 2026-09-25T13:54:29.858Z