In 2014, DeepMind's DQN mastered atari games and transformed reinforcement learning

More than a decade ago, there was a major breakthrough in artificial intelligence in the realm of video games. In 2014, London-based DeepMind published experiments showing that an AI system could ...
The University of Texas at Arlington

REP: AI training shaped by teachers

The project aims to help teachers make thoughtful and effective decisions about using artificial intelligence (AI) in K-12 classrooms. Dr. Weisberg will work directly with local teachers through a ...
IEEE

Task Offloading in Edge Computing Considering the Dynamics of Tasks and Networks Based on Grey Numbers

Abstract: Task offloading from edge devices to the cloud is typically modeled using directed acyclic graphs (DAGs), which assume predefined task details and stable network conditions. However, ...
IEEE

A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing

Abstract: The resource-constrained edge devices are struggling with the rising computational demands of modern user applications with many dependent tasks. In this paper, we investigate the dependent ...