In this project, I will implement Value Iteration and Q-Learning algorithms to solve Markov Decision Processes (MDPs). I'll be testing my agents on Gridworld, a simulated robot controller (Crawler), ...

In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three ...

If you are a parent in 2024, you are in uncharted territory. The digital age is reshaping social norms at breakneck speed. Roles, responsibilities, and relational groupings are in flux. It’s too much ...

Abstract: A novel variable step-size modified super-exponential iteration (MSEI) decision feedback blind equalization (DFE) algorithm with second-order digital phase-locked loop is put forward to ...

Discover how the Instagram algorithm works in 2023 from CEO Adam Mosseri and get answers about ranking, reach, and shadowbanning. Adam Mosseri, CEO of Instagram, released a new video and blog post ...

Centralized algorithms and distributed algorithms have gained great attention on the energy Internet nowadays. The centralized algorithm presses too much communication and numeration load to its ...

Abstract: A new algorithm implemented as combination of gradient based and single iteration reconstruction algorithms for compressively sensed sparse signals is proposed in the paper. A good feature ...

Department of Mathematics & Physics, Beijing Institute of Petrochemical Technology, Beijing, China. are the partitioned matrix of and respectively. As is well known, this problem models a large ...

ABSTRACT: In this paper, we discuss least squares symmetrizable solutions of matrix equations (AX = B, XC = D) and its optimal approximation solution. With the matrix row stacking, Kronecker product ...