Distributed Newton-like Algorithms and Learning for Optimized Power Dispatch.
Tor AndersonPublished in: CoRR (2021)
Keyphrases
- learning algorithm
- learning tasks
- orders of magnitude
- noise tolerant
- machine learning algorithms
- reinforcement learning
- learning systems
- online learning
- optimization problems
- supervised learning
- knowledge acquisition
- learning problems
- learning models
- constraint satisfaction problems
- learning process
- background knowledge
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- distributed constraint optimization
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- computationally efficient
- unsupervised learning
- computational cost
- prior knowledge
- support vector
- data structure