Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...

Footage of Twitter co-founder Jack Dorsey warning social media users about what they become while scrolling resurfaced this week. His speech took place at the Africa Bitcoin Conference 2024, where he ...

Is your feature request related to a problem or challenge? Currently, the existing DP visualizer code runs the algorithms and generates the steps internally, but it doesn’t display a proper ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

Credit: Getty Images Researchers conducted a retrospective analysis to assess hypoglycemia rates among patients receiving IV insulin through a dynamic dosing algorithm. Glucopilot dynamic dosing ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...