AssistGUI: Task-Oriented PC Graphical User Interface Automation
Abstract Graphical User Interface (GUI) automation holds significant promise for assisting
users with complex tasks thereby boosting human productivity. Existing works leveraging …
users with complex tasks thereby boosting human productivity. Existing works leveraging …
Actor-critic network for O-RAN resource allocation: xApp design, deployment, and analysis
M Kouchaki, V Marojevic - 2022 IEEE Globecom Workshops …, 2022 - ieeexplore.ieee.org
Open Radio Access Network (O-RAN) has introduced an emerging RAN architecture that
enables openness, intelligence, and automated control. The RAN Intelligent Controller (RIC) …
enables openness, intelligence, and automated control. The RAN Intelligent Controller (RIC) …
Multi-agent deep reinforcement learning for coordinated multipoint in mobile networks
Macrodiversity is a key technique to increase the capacity of mobile networks. It can be
realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple …
realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple …
Assistgui: Task-oriented desktop graphical user interface automation
Graphical User Interface (GUI) automation holds significant promise for assisting users with
complex tasks, thereby boosting human productivity. Existing works leveraging Large …
complex tasks, thereby boosting human productivity. Existing works leveraging Large …
An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning
Recent advances in deep reinforcement learning (DRL) have made it possible to train
various powerful agents to perform complex tasks in real-time environments. With the next …
various powerful agents to perform complex tasks in real-time environments. With the next …
Deep Reinforcement Learning Based Handover management for Vehicular Platoon
The 3rd Generation Partnership Project (3GPP) has maintained the standardization efforts
on Vehicle-To-Everything (V2X) communications with NR-V2X (New-Radio-V2X) in …
on Vehicle-To-Everything (V2X) communications with NR-V2X (New-Radio-V2X) in …
Large Language Model-Driven Curriculum Design for Mobile Networks
This paper proposes a novel framework that leverages large language models (LLMs) to
automate curriculum design, thereby enhancing the application of reinforcement learning …
automate curriculum design, thereby enhancing the application of reinforcement learning …
Lifetime Improvement in Rechargeable Mobile IoT Networks Using Deep Reinforcement Learning
The rapid advancement of Internet of Things (IoT) technology has revolutionized industries
and daily life through enhanced connectivity and automation. Moreover, the development of …
and daily life through enhanced connectivity and automation. Moreover, the development of …
An Intelligent Energy-Efficient Handover Scheme Based on CoMP for Heterogeneous Network
Z Zhang, Y Liu, Z Jiang, B Yang… - IEEE Communications …, 2024 - ieeexplore.ieee.org
With the exponential growth of user equipment (UE) access in future networks, service
operators are deploying many low-cost and low-power heterogeneous base stations …
operators are deploying many low-cost and low-power heterogeneous base stations …
Conventional and Machine Learning Approaches for Network and Service Coordination
S Schneider - 2023 IEEE Conference on Network Function …, 2023 - ieeexplore.ieee.org
Network and service coordination is important to provide modern services consisting of
multiple interconnected components, eg, in 5G, network function virtualization (NFV), or …
multiple interconnected components, eg, in 5G, network function virtualization (NFV), or …