Tag: deep reinforcement learning

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 ...

A comprehensive review in Artificial Intelligence Review argues that reinforcement learning can overcome the static limitations of traditional recommender systems, ...