The 2025 Nobel Prize in Physics was awarded to three scientists-Dr. John Clarke (Professor Emeritus, University of California ...

This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available as an outside option to students on other programmes where ...

This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...

Rutger Bregman's 2025 Reith Lectures, called "Moral Revolution", explore the moral decay and un-seriousness of today's elites, drawing historical parallels to past eras of corruption that preceded ...

This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...

All lectures can be attended virtually via Zoom; students use the chat function to submit questions. All lectures are recorded and available for students to watch upon request (instructions on viewing ...

Bregman's 2025 Reith Lectures will reflect on moments in history, including the likes of the suffragette and abolitionist movements, which have sparked transformative moral revolutions, offering hope ...

Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, insurance portfolio management, finance and accounting, personal investment and financial ...

Digital control theory, design methodology, and techniques for controller implementation on digital computers. Discrete system modeling, system identification, and adaptive control methods. Single and ...

Abstract: This article proposes a novel reinforcement learning-based model predictive control (RLMPC) scheme for discrete-time systems. The scheme integrates model predictive control (MPC) and ...

The state and input constraints of nonlinear systems could greatly impede the realization of their optimal control when using reinforcement learning (RL)-based approaches since the commonly used ...