Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events. Research in this ...

A comprehensive Reinforcement Learning system for resource allocation optimization, featuring state-of-the-art algorithms, realistic environments, and interactive demonstrations. This system is for ...

Abstract: Agriculture is the main industry in India and plays a major role in the country’s economy, which is the primary source of GDP growth, rural development, and the production of needs like food ...

Abstract: This paper presents a novel approach for partitioning database sessions into groups using the quantum MaxCut problem solved by the Quantum Approximate Optimization Algorithm (QAOA). Each ...

As the global demand for critical minerals intensifies, the ability to optimise resource allocation has become the primary differentiator between a profitable operation and a stalled project. Modern ...