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06/06/2023
Fast Context Adaptation in Cost-Aware Continual Learning
In the past few years, DRL has become a valuable solution to automatical...
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02/28/2023
Multi-Agent Reinforcement Learning for Pragmatic Communication and Control
The automation of factories and manufacturing processes has been acceler...
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02/22/2023
Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks
To ensure safety in teleoperated driving scenarios, communication betwee...
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03/10/2022
Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3
Artificial intelligence (AI) techniques have emerged as a powerful appro...
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02/04/2022
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario
In recent years, autonomous networks have been designed with Predictive ...
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11/23/2021
No Free Lunch: Balancing Learning and Exploitation at the Network Edge
Over the last few years, the DRL paradigm has been widely adopted for 5G...
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05/17/2021
Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario
The Network Slicing (NS) paradigm enables the partition of physical and ...
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03/08/2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (...
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06/10/2020
Internet of Things for Elderly and Fragile People
This paper discusses the potential of the Internet of Things (IoT) parad...
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10/16/2019
An Adaptive Broadcasting Strategy for Efficient Dynamic Mapping in Vehicular Networks
In this work, we face the issue of achieving an efficient dynamic mappin...
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04/08/2019