AI Learns to Hunt Radio Spectrum: War-Strategy Boost for Cognitive Networks
Researchers at SASTRA Deemed University have combined deep reinforcement learning with an adaptive war strategy to let cognitive radio networks ...
Researchers at SASTRA Deemed University have combined deep reinforcement learning with an adaptive war strategy to let cognitive radio networks ...
Researchers in China have developed a graph-based deep reinforcement learning system that learns to schedule single-armed cluster tools processing multiple ...
Researchers at the Dalian Institute of Chemical Physics have used a deep reinforcement learning framework with adaptive noise scaling to ...
Researchers have built a vectorized simulation and reward framework that trains autonomous microrobot navigation policies in under ten minutes, enabling ...
A new comprehensive survey in Cluster Computing systematically compares how deep reinforcement learning algorithms are transforming task scheduling and offloading ...
A new machine learning framework combines variational autoencoders with actor-critic deep reinforcement learning to sequentially estimate the remaining useful life ...
Researchers have developed a federated learning-based caching scheme that predicts socially popular content and pre-positions it at the network edge ...
A new framework combining adaptive fuzzy logic and federated deep reinforcement learning cuts energy consumption in vehicular edge computing by ...
Researchers have unveiled an AI-driven digital twin framework that dynamically controls reconfigurable intelligent surfaces to overcome terahertz propagation losses in ...
A systematic review of 80 peer-reviewed studies reveals that AI, especially deep reinforcement learning, is rapidly transforming how serverless cloud ...
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© 2025 Scienmag - Science Magazine