Advancing Multi-Agent Reinforcement Learning: Learning ...
In the dynamic landscape of artificial intelligence, Multi-Agent Reinforcement Learning (MARL) stands out as a pivotal area, enabl...
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 ...
COVID-19, caused by the SARS-CoV-2 virus, was declared a global pandemic by the World Health Organization (WHO) in March 2020. The...
Non-Intrusive Data-Driven Implementations of IRKA and B...
Model order reduction (MOR) techniques such as Balanced Truncation and the Iterative Rational Krylov Algorithm (IRKA) are essentia...
Quantum Advantage in Decentralized Control of POMDPs: A...
Decentralized control of partially observable Markov decision processes (POMDPs) is a fundamental problem in cooperative multi-age...
Event-Based Adaptive Koopman Framework for Optic Flow-G...
Landing unmanned aerial vehicles (UAVs) on moving platforms is a challenging task due to environmental uncertainties and dynamic p...
Energy-Efficient Printed Machine Learning Classifiers w...
Printed electronics (PE) offer a cost-effective and flexible alternative to traditional silicon-based systems. However, high power...
Toward Explainable NILM: Real-Time Event-Based NILM Fra...
Non-Intrusive Load Monitoring (NILM) is a powerful tool for analyzing appliance-level energy consumption without additional hardwa...
