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The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...
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How-To Geek on MSNWhy I'm Learning to Code in the Age of Vibe CodingThe Hype of Vibe Coding . Every day I log into Reddit, I come across at least a few posts about people vibe coding their ...
Abstract: The purpose of this note is to extend the Approximate Dynamic Programming (ADP) method to the infinite time stochastic optimal control (ergodic) problem. It is also shown that a modification ...
School of Automation, Beijing Institute of Technology, No. 5, South Street, Zhongguancun, Haidian District, Beijing 100081, P. R. China ...
The annual coding-based competition is designed for all students to learn and broaden their programming skills. Teams solve problems and innovate in a convivial, inclusive, and supportive atmosphere.
To address DSAP effectively, we formulate a Markov decision process (MDP) model and propose a deep reinforcement learning algorithm combined with an integer programming (DRLIP) model. DRLIP decomposes ...
School of Mechanical and Equipment Engineering, Hebei University of Engineering, 19 Taiji Road, Congtai District, HanDan 056038, P. R. China ...
Welcome to the NavRL repository! This repository provides the implementation of the NavRL framework, designed to enable robots to safely navigate dynamic environments using Reinforcement Learning.
Dynamic Neural Network Refinement (DNNR) is an advanced framework that allows neural networks to adapt in real time. Unlike static systems, DNNR refines network parameters on-the-fly to optimize ...
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