IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.
IEEE

Energy-Efficient Routing Protocol in Vehicular Opportunistic Networks: A Dynamic Cluster-Based Routing Using Deep Reinforcement Learning

Abstract: Opportunistic Networks (OppNets) employ the Store-Carry-Forward (SCF) paradigm to maintain communication during intermittent connectivity. However, routing performance suffers due to dynamic ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
The New York Times

The New Fabio Is Claude

The romance industry, always at the vanguard of technological change, is rapidly adapting to A.I. Not everyone is on board. By Alexandra Alter Last February, the writer Coral Hart launched an ...