MaskCtrl: Training mask networks as self-explainable and performant controllers via deep reinforcement learning.
- DOI
- 10.1016/j.neunet.2026.109107
- Published
- 2026 Nov
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109107,
title = {MaskCtrl: Training mask networks as self-explainable and performant controllers via deep reinforcement learning.},
author = {Peng S and Liu S and Zhi D and Wang P and Zhang M},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109107},
url = {https://doi.org/10.1016/j.neunet.2026.109107}
}RIS
TY - JOUR TI - MaskCtrl: Training mask networks as self-explainable and performant controllers via deep reinforcement learning. AU - Peng S AU - Liu S AU - Zhi D AU - Wang P AU - Zhang M PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109107 UR - https://doi.org/10.1016/j.neunet.2026.109107 ER -
APA
S, P., S, L., D, Z., P, W., & M, Z. (2026). MaskCtrl: Training mask networks as self-explainable and performant controllers via deep reinforcement learning.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109107
Source records
- pubmed · retrieved 2026-09-26T03:59:56.800Z