IEEE

Reinforcement Learning-Based Tracking Control for Networked Control Systems With DoS Attacks

Abstract: This paper is concerned with the reinforcement learning-based tracking control problem for a class of networked systems subject to denial-of-service (DoS) attacks. Taking the effects of DoS ...
Ecommerce Fastlane

A Practical Guide To Setting Up Inventory Systems For Small Fashion Brands

For fashion-specific tooling, roundups such as EasyReplenish’s list of the best fashion inventory management software and ...
IEEE

Fully Actuated System Approach for Control: An Overview

Abstract: Fully actuated system (FAS) approach was proposed in 2020 and 2021 as a general framework for control system analysis and design based on a newly discovered general type of fully actuated ...
GitHub

Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization

Implementation of Hindsight Differentiable Policy Optimization, as described in the paper Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization. We argue that ...