To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...

We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...

Abstract: This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of ...

Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...

The CSES Problem Set is a comprehensive collection of competitive programming problems hosted on the CSES (Code Submission Evaluation System) website, widely used by programmers and students to ...

This program is a simple implementation of the Traveling Salesman Problem (TSP) solver using Dynamic Programming with bitmasking approach. TSP is a classic problem in computer science and operations ...

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 ...

Hamza is a certified Technical Support Engineer. The error “There is a problem with Microsoft Windows App Runtime Dynamic Dependency LifetimeManager” typically ...

OpenAI researchers have admitted that even the most advanced AI models still are no match for human coders — even though CEO Sam Altman insists they will be able to beat “low-level” software engineers ...