Cloud computing (CC) is a centralized computing paradigm that accumulates resources
centrally and provides these resources to users through Internet. Although CC holds a large …

As the “respiratory tract” of the air breathing engine, the hypersonic inlet plays the role of
compressing, decelerating, and pressurizing flow. However, research on the traditional inlet …

Reinforcement learning algorithms have been very successful at solving sequential decision-
making problems in many different problem domains. However, their training is often time …

In order to solve the multidimensional restricted optimization problem of aeroengine
acceleration process and improve the acceleration performance of full envelope, a design …

This paper proposes a FAst paRAllel and pipeliNE Q-learning accelerator (FARANE-Q) for a
configurable Reinforcement Learning (RL) algorithm implemented in a System on Chip …

Experimentation in real cloud environments for training Deep Reinforcement Learning
(DRL) agents can be costly, time-consuming, and non-repeatable. To overcome these …

Human hands can perform complex manipulation of various objects. It is beneficial if
anthropomorphic robotic hands can manipulate objects like human hands. However, it is still …

The process of scaling microservices is a challenging task, especially in maintaining
optimum resource provisioning while respecting QoS constraints and SLA. Many research …

Video game development is getting increasingly effective as AI paradigms advance. Deep
Reinforcement Learning (DRL) is a promising artificial intelligence (AI) approach. It …

The advent of reconfigurable intelligent surfaces (RISs) brings along significant
improvements for wireless technology on the verge of beyond-fifth-generation networks …