Technological trends are often short-lived and have no lasting effect. New programming languages show up every year, ...

Abstract: Deep reinforcement learning (DRL), which highly depends on the data representation, has shown its potential in many practical decision-making problems. However, the process of acquiring ...

Abstract: Edge computing has recently emerged as a promising paradigm to boost the performance of distributed learning by leveraging the distributed resources at edge nodes. Architecturally, the ...