BRFedTD: A Novel Framework for Federated Reinforcement Learning With Byzantine-Resilient Policy Evaluation.
- DOI
- 10.1109/tpami.2026.3713184
- Published
- 2026 Nov
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3713184,
title = {BRFedTD: A Novel Framework for Federated Reinforcement Learning With Byzantine-Resilient Policy Evaluation.},
author = {Wang D and Liu W and Mao X},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3713184},
url = {https://doi.org/10.1109/tpami.2026.3713184}
}RIS
TY - JOUR TI - BRFedTD: A Novel Framework for Federated Reinforcement Learning With Byzantine-Resilient Policy Evaluation. AU - Wang D AU - Liu W AU - Mao X PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3713184 UR - https://doi.org/10.1109/tpami.2026.3713184 ER -
APA
D, W., W, L., & X, M. (2026). BRFedTD: A Novel Framework for Federated Reinforcement Learning With Byzantine-Resilient Policy Evaluation.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3713184
Source records
- pubmed · retrieved 2026-11-10T15:50:31.713Z