by instadatahelp | Sep 5, 2023 | AI Blogs
Reinforcement Learning for Joint Optimization of Multiple Rewards Mridul Agarwal, Vaneet Aggarwal; 24(49):1−41, 2023. Abstract To find optimal policies that maximize the long-term rewards of Markov Decision Processes, dynamic programming and backward induction are...
by instadatahelp | Sep 5, 2023 | AI Blogs
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process Cheng Zeng, Jeffrey W Miller, Leo L Duan; 24(153):1−32, 2023. Abstract In applications of mixture modeling and clustering, it is often unknown how many components and clusters exist....
by instadatahelp | Sep 5, 2023 | AI Blogs
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks Lingjun Li, Jun Li; 24(51):1−44, 2023. Abstract This paper presents a novel approach for online change-point detection in high-dimensional data, specifically...
by instadatahelp | Sep 5, 2023 | AI Blogs
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd; 24(154):1−48, 2023. Abstract Analyzing the influence of changes to the training data on model predictions can provide valuable...
by instadatahelp | Sep 5, 2023 | AI Blogs
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback Kirthevasan Kandasamy, Joseph E Gonzalez, Michael I Jordan, Ion Stoica; 24(53):1−45, 2023. Abstract This study focuses on a multi-round mechanism design problem that aims to maximize...
![Early Fixing for Optimization of Gas-lifted Oil Production: A Comparison of Supervised and Weakly-supervised Approaches Using Deep Learning (arXiv:2309.00197v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 5, 2023 | AI Blogs
The aim of this paper is to enhance oil production from gas-lifted oil wells by solving Mixed-Integer Linear Programs (MILPs). These programs need to be repeatedly solved as the parameters of the wells change. Instead of using expensive exact methods or approximate...
