Abstract: In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive ...

From greedy shortcuts to dynamic programming guarantees, algorithm design techniques are the backbone of efficient problem-solving in computer science. Understanding when and how to apply each ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

This year, I tried out a new idea that a professor mentor and I call “LitBoxes.” They’re themed boxes filled with small items ...

So, you’re looking to get better at LeetCode, huh? It can feel like a huge mountain to climb with all those problems. But honestly, it’s not just about grinding through endless coding challenges.

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Making a postgraduate choice is a defining academic decision and especially when you are venturing into a domain as dynamic and full of promise as a Master of Science, ...

Abstract: Many scientific research and engineering problems can be converted to time-varying quadratic programming (TVQP) problems with constraints. Thus, TVQP problem solving plays an important role ...

cuADMM solves multi-block SDP problems of the form: $$\min_X \left\langle C,X\right\rangle \quad\text{s.t.}\quad \begin{cases} \left\langle A_i,X\right\rangle = b_i ...

Amid sky-high inflation, water and energy cuts and prospects for a deal with the U. S. dimming, President Masoud Pezeshkian has apparently thrown up his hands. By Farnaz Fassihi and Leily Nikounazar ...

In this tutorial, we explore how exploration strategies shape intelligent decision-making through agent-based problem solving. We build and train three agents, Q-Learning with epsilon-greedy ...