Why Industrial & Systems Engineers, Decision & Data Scientists Should Learn Reinforcement Learning?Even in the changing tech-tonic world of todays, decision and data scientists along with industrial and systems engineers have got to stay…Jun 131Jun 131
Gaussian Process Regression (GPR) and Its Role in OptimizationWhat is Gaussian Process Regression (GPR)?Jun 82Jun 82
Reinforcement Learning for Real-Time Production AdaptationIn contemporary industrial systems, the need for adaptive production systems is significant. Traditional production methods often struggle…Jun 22Jun 22
Adaptive Optimization with Online Learning AlgorithmsIn today’s data-driven world, adaptive optimization with online learning algorithms has become a game-changer for businesses and…May 30May 30
Multi-Agent Systems for Distributed Decision MakingIn today’s changing technological world, the complexity and scale of decision-making processes in various industries have grown…May 21May 21
Introduction to Graph Neural Networks (GNN) in Production Process OptimizationGraph Neural Networks (GNNs) are an advanced subset of neural networks adapted for data structured in graphs. In manufacturing processes…May 17May 17
Introduction to Mathematical Models in Optimization and Operations ResearchThe Essence of Mathematical ModelsApr 26Apr 26
Reinforcement Learning Advances: Trust Region Policy Optimization (TRPO) ExplainedIn the field of reinforcement learning (RL), researchers are constantly seeking new methods to improve the performance and stability of…Apr 24Apr 24
