AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results show that sharing observations across objectives and ignoring irrelevant objective-wise distinctions can substantially reduce the sampling cost, as confirmed by experiments on synthetic and real-world tasks.
This work proposes leveraging evolution strategies (ESs), a class of specialized black-box optimization algorithms, within the PSL paradigm, by encapsulating the dependencies within a neural network, which is then trained using a novel gradient estimation method.
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