This repository contains the code to reproduce the examples in the paper Motion Planning around Obstacles with Convex Optimization by Tobia Marcucci, Mark Petersen, David von Wrangel, and Russ Tedrake ...

This is a graduate-level course on Algorithmic Game Theory and Mechanism Design. We will cover some of the theoretical foundations of game theory and mechanism design, and cover a number of the most ...

What if the next new mathematical discovery didn’t come from a human mind, but from an AI? Imagine a machine not just crunching numbers but proposing original solutions to problems that have baffled ...

Despite being one of the biggest new releases of the year so far, Monster Hunter Wilds is receiving a battering at the moment. While the content and core systems of the game are mostly well-received, ...

Mr. Holiday had been asked to give one of the Stutt Lectures at the U.S. Naval Academy on April 14. For the past four years, I have been delivering a series of lectures on the virtues of Stoicism to ...

Discussions are underway to select the next speaker for the Elon Musk Public Lecture series, which was last held at Penn in 2023. The Musk lectures began in 2009 following an endowment by 1997 College ...

Data-driven decision-making processes increasingly utilize end-to-end learnable deep neural networks to render final decisions. Sometimes, the output of the forward functions in certain layers is ...

Abstract: Convex optimization is of great interest as an efficient and reliable solver in the field of aerospace engineering. Existing research often focuses on developing proper convexification ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...