2 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
Jonas De Maeyer, Hossein Yarahmadi, Moharram Challenger
Path planning in dynamic environments is a fundamental challenge in intelligent transportation and robotics, where obstacles and conditions change over time, introducing uncertaint…
High-level reasoning while low-level actuation in Cyber-Physical Systems: How efficient is it?
Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
The increasing complexity of industrial information-integration systems demands software technologies that enable intelligent behaviour, real-time response, and efficient developme…
Enhancement of Quantum Semi-Supervised Learning via Improved Laplacian and Poisson Methods
Hamed Gholipour, Farid Bozorgnia, Hamzeh Mohammadigheymasi +5
This paper develops a hybrid quantum approach for graph-based semi-supervised learning to enhance performance in scenarios where labeled data is scarce. We introduce two enhanced q…