Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

This paper presents the hierarchical Q-learning path planning (HQPP) architecture for solving the cooperative tracking control problem of multi-agent systems (MASs) with lumped uncertainties in an ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

The deadline is closing in, compiler errors keep flashing across your screen, and the fear of lost GPA points feels like a ...

In this article, we introduce an AI-based holistic network optimization solution to schedule AI services. Our proposed deep Q-learning algorithm optimizes the overall throughput of AI co-inference ...