With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

Many researchers agree that there has been a step change in humanoid capability over the past five years, owing to cheaper ...

Most rural Nebraskans are aware of the use of algorithms in online media and have some concerns about their use, according to ...

Apps and trackers are intended to guide us along the path of wellness, but research suggests the outcomes are not always ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...

Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...