At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Abstract: The overestimation caused by function approximation is a well-known property in Q-learning algorithms, especially in single-critic models, which leads to poor performance in practical tasks.

Abstract: This article investigates the optimal tracking problem for discrete-time autonomous nonlinear switched systems with the switching cost. To avoid excessive switching frequency, the switching ...

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007 First Light has 37 achievements/trophies to unlock, and you'll be happy to know that it's a very easy process, and most can be acquired directly from the story without even trying. What's even ...

It is described mathematically using quantum mechanical equations derived from what has become known as the Keldysh–Faisal–Reiss (KFR) strong-field approximation 1, 2, 3. The KFR ansatz has been ...

I am Professor in the Industrial Engineering and Operations Research department at Columbia University. I received my PhD in Algorithms, Combinatorics and Optimization (ACO) in 2008 from Tepper School ...

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Kiet Q. H. Vo , Abbavaram Gowtham Reddy , Julian Rodemann , Siu Lun Chau , Krikamol Muandet Where Rectified Flows Leak: Characterising Membership Signals Along the Interpolation Path Thomas Sesmat , ...

Criteria for M2M/IoT-related assignments under Recommendation ITU-T E.164.1 and Recommendation ITU-T E.212 Annex A ...