15 citations · 29 across the 7 of their papers we have counts for
8 papers
Textual Explanations and Their Evaluations for Reinforcement Learning Policy
Ahmad Terra, Mohit Ahmed, Rafia Inam +2
Understanding a Reinforcement Learning (RL) policy is crucial for ensuring that autonomous agents behave according to human expectations. This goal can be achieved using Explainabl…
Explainable Reinforcement Learning via Temporal Policy Decomposition
Franco Ruggeri, Alessio Russo, Rafia Inam +1
We investigate the explainability of Reinforcement Learning (RL) policies from a temporal perspective, focusing on the sequence of future outcomes associated with individual action…
Model Compression for Resource-Constrained Mobile Robots
Timotheos Souroulla, Alberto Hata, Ahmad Terra +2
The number of mobile robots with constrained computing resources that need to execute complex machine learning models has been increasing during the past decade. Commonly, these ro…
A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies
Rafia Inam, Alberto Yukinobu Hata, Vlasjov Prifti +1
The recent development of artificial intelligence (AI) has increased the interest of researchers and practitioners towards applying its techniques into multiple domains like automo…
Industrial Edge-based Cyber-Physical Systems -- Application Needs and Concerns for Realization
Martin Törngren, Haydn Thompson, Erik Herzog +3
Industry is moving towards advanced Cyber-Physical Systems (CPS), with trends in smartness, automation, connectivity and collaboration. We examine the drivers and requirements for…
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness
José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren +6
Edge computing is projected to have profound implications in the coming decades, proposed to provide solutions for applications such as augmented reality, predictive functionalitie…
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety
A. M. Nascimento, L. F. Vismari, C. B. S. T. Molina +7
Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artific…
A Framework for Knowledge Management and Automated Reasoning Applied on Intelligent Transport Systems
Aneta Vulgarakis Feljan, Athanasios Karapantelakis, Leonid Mokrushin +6
Cyber-Physical Systems in general, and Intelligent Transport Systems (ITS) in particular use heterogeneous data sources combined with problem solving expertise in order to make cri…