Abstract: As the demand for multi-dimensional ground and air information acquisition increases on modern battlefields, ground-air cooperation has become a crucial method to enhance operational ...

We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Chicago in and of itself is an innovative marvel to behold. Established on soggy land adjacent to Lake Michigan, the city underwent major architectural efforts to physically raise the urban area to ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

UnDIP is a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted using a geometric endmember ...

Abstract: This paper proposes an energy storage resource aggregation model based on strengthened learning and simplex method pivot acceleration. The model aims to optimize peak shaving and valley ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...