Yokogawa Wins Prestigious 2025 Vaaler Award for Innovation in the Chemical Industry

"Yokogawa is honored to receive the 2025 Vaaler Award for innovation," said Karthik Gopalakrishnan, solutions consultant.
mccormick.northwestern.edu

IEMS 469: Dynamic Programming

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...
Control Global

Aramco and Yokogawa commission autonomous-control, AI agents

Yokogawa defines autonomous control AI as AI that deduces the optimum method for control independently, and has a high level ...
NextBigFuture

dynamic reinforcement learning

LLM papers according to arXiv trends. This is driven by foundation model scale and multimodal extensions. However, no ...
JSTOR Daily

Comparing reinforcement learning approaches for solving game theoretic models: a dynamic airline pricing game example

Games can be easy to construct but difficult to solve due to current methods available for finding the Nash Equilibrium. This issue is one of many that face modern game theorists and those analysts ...
Semiconductor Engineering

Effectiveness of a Reinforcement-Learning Based Dynamic Power Manager In a SW Framework

New technical paper titled “Low-Overhead Reinforcement Learning-Based Power Management Using 2QoSM” from researchers at ETH Zurich and Georgia Tech. “With the computational systems of even embedded ...
techtimes

Robot Cassie Masters Dynamic Movements Through Reinforcement Learning

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...
MIT Technology Review

Reinforcement Learning

Progress in self-­driving cars and other forms of automation will slow dramatically unless machines can hone skills through experience. Inside a simple computer simulation, a group of self-driving ...