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Found 6 papers, 1 papers with code
DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning
Opportunistic routing relies on the broadcast capability of wireless networks.
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
To the best of our knowledge, this is the first successful application of the MADRL framework for the MANET routing problem that demonstrates a high degree of scalability and robustness even under environments that are outside the trained range of scenarios.
Characterizing Malicious URL Campaigns
Seemingly dissimilar URLs are being used in an organized way to perform phishing attacks and distribute malware.
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs
To the best of our knowledge, this is the first successful demonstration of MADRL for the MANET routing problem that achieves and maintains a high degree of scalability and robustness even in the environments that are outside the trained range of scenarios.
An Improved Deep Learning Architecture for Person Re-Identification
Novel elements of our architecture include a layer that computes cross-input neighborhood differences, which capture local relationships among mid-level features that were computed separately from the two input images.
Semantic Object Selection
With the tag provided by the user we do a text query of an image database to gather exemplars of the object.
