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Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning

Research article (IEEE Transactions on Power Systems, 2023) · cited 24× · AI/ML
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Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning

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Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-operable-power-flow-sample-efficient-holomorphic-embedding-based-reinforcement-learning
MLA “Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-operable-power-flow-sample-efficient-holomorphic-embedding-based-reinforcement-learning.
BibTeX @misc{4ortxyz_optimal-operable-power-flow-sample-efficient-holomorphic-embedding-based-reinforcement-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-operable-power-flow-sample-efficient-holomorphic-embedding-based-reinforcement-learning}, note = {Accessed: 2026-05-24}}
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