Training machine learning models, such as reinforcement learning models, require a
significant investment of time, and a trained model can only work on a specific system in a …

Nowadays we are witnessing the formation of a massive Internet-of-Things (IoT) ecosystem
that integrates a variety of wireless-enabled devices ranging from smartphones, wearables …

The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …

Recently, reinforcement learning has been applied to various fields and shows better
performance than humans. In particular, it is attracting attention in the fields of smart factories …

The emergence of a massive Internet-of-Things (IoT) ecosystem is changing the human
lifestyle. In several practical scenarios, IoT still faces significant challenges with reliance on …

This paper provides an experimental study of reinforcement learning on IoT devices using
distilled knowledge, whose a teacher with a well-trained model transfers to a student with a …

The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …

Wireless communication and computation technologies are becoming increasingly complex
and dynamic due to the sophisticated and ubiquitous Internet of things (IoT) applications …

Reinforcement learning (RL) is a promising research area that focusses on the devices that
can be interconnected on the internet commonly known as the internet of things (IoT) where …

The birth of AlphaGo has set off a new wave of reinforcement learning technology.
Reinforcement learning has become one of the most popular directions in the field of …