This paper studies the behavior decision-making process of UAV swarm rendezvous task based on the double deep Q network (DDQN) algorithm. We design a guided reward function to effectively solve the ...

Abstract: This paper studies a new multi-agent deep reinforcement learning (MADRL) approach for unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks, where UAV-mounted servers ...

By integrating Unmanned aerial vehicle (UAV) image analysis technology and deep learning techniques, we proposed a method for precise monitoring of agricultural progress in rice-wheat rotation areas.

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Deep learning is a type of machine learning that learns by looking at lots of examples. In a way, deep learning is how we humans learn new things. For instance, you might teach a toddler to ...

It has developed a plastic mapping solution, based on deep learning algorithms in conjunction with UAV-captured imagery, aimed at dealing with the problem before it reaches the ocean. The solution is ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

Resolving Ambiguity: How the Brain Uses Context in Decision-Making and Learning Dec. 10, 2024 — Life can be tricky. We have so many decisions to make. It's a good thing we have an orbitofrontal ...

By The Learning Network We asked students, “What are you thinking and feeling as President Trump returns to power?” By The Learning Network Debates, graphs, writing exercises, art projects ...

How important are your high school grades for your future? By The Learning Network Looking for new ways to get students reading and responding to nonfiction? Try these exercises for discussion ...