FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...

Data center demand for natural gas-based power has created a "gas infrastructure constraint problem," says Andrew Gilbert, a Partner at Energy Capital Partners. Gilbert tells Cool Vector that among ...

Cambridge, MA – Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is ...

2024, Paper: "This essay outlines foundations of the current moment facing corporations and politics, which I have characterized as a new “problem of twelve”—that is, the concentration of power in the ...

EasyCSP is an open-source Java library for Constraint Satisfaction Programming. Supports CSPs, CSOPs, discrete object domains, int interval domains, int constraint binarization. Examples include ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

We'll start the weekend with quite a few clouds along with periods of dry weather during the daylight hours, but a weak system could bring a few rain drops. It’s the final week of high school football ...

Background: The Serial function in the Monaco treatment planning system is essential for cardiac dose optimization in left breast cancer radiotherapy; however its optimal K-value for deep-inspiration ...

OKLAHOMA CITY & DALLAS--(BUSINESS WIRE)--From slow-moving inventory to capacity constraints, the furniture industry faces unique supply chain challenges that are difficult to manage at scale via ...