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.

Asking someone, "What's your problem?" can seem like a confrontational challenge. It's like saying, "So, tell me: What's irking you? What is it that's nagging you or getting under your skin, ...

You’ve heard the gospel: AI is going to change everything. Good, great, grand. But when you’re staring down a deadline and 80 unread emails, you don’t need philosophy, you need a cheat sheet. The ...

Address the simultaneous local & global constraint optimization problem for cosmeceutical formulations acting on a multiscale skin model. Goal: Achieve maximum clinical effectiveness through synergy ...

An unknown number of airmen will face delays in their moving day because of problems with the service's Permanent Change of Station budget. (Air Force illustration) The U.S. Air Force delayed the ...

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 ...

ABSTRACT: This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to ...

We often hear about the health care workforce shortage ongoing in our country. I feel it pertinent to clarify that much of the shortage is intentionally induced by hospital systems and the non-compete ...

The Vehicle Routing Problem (VRP) is a well-known discrete optimization problem that has an impact on theoretical and practical applications. In this paper, a freight distribution model that includes ...

In this paper, we use partial differential equations to deal with constraint optimal control problems. We construct extremal flows by differential-algebraic equation to approximate the optimal ...