… of industrial Internet of Things (IIoT) are drawing attentions. Although blockchain and
machine learning technologies (especially deep learning and deep reinforcement learning) may …

… Abstract—Performing deep neural network (DNN) inference … the resource-limited industrial
Internet of things (IIoT) networks. … Furthermore, a deep reinforcement learning based resource …

… for the Industrial Internet of Things intrusion detection system based on a deep reinforcement
… This method combines deep learning’s observation capability with reinforcement learning’s …

Unplanned breakdown of critical equipment interrupts production throughput in Industrial
IoT (IIoT), and data-driven predictive maintenance (PdM) becomes increasingly important for …

… In recent years, the increasing demand for industrial communication, along with the maturity …
development of the Industrial IoT (IIoT) [1], [2]. The IIoT refers to industry and manufacturing …

… To meet the high throughput requirement, this paper proposes a novel deep reinforcement
learning (DRL)-based performance optimization framework for blockchain-enabled IIoT …

… The Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers … Internet of
Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT …

… two characteristics of the Industrial Internet of Things (IIoT). With Industry 4.0 emerges a strong
… In industry, deep reinforcement learning (DRL) is increasingly used in robotics, job shop …

… , we propose a deep reinforcement learningbased dynamic … of sensor deployment for
industrial Internet of things using a … based on deep q network for industrial Internet of things,” …

… and network subsystems in the industrial Internet of things system. In order to … industrial IoT,
according to the characteristics of industrial systems, Reference [25] leveraged reinforcement …