Yokogawa and Kyoto Brewer Craft Bank Test Optimization of Fermentation Process with AI-Guided Temperature Setting Schedule

By manually implementing the temperature setting schedule created by this AI, brewers reduced the fermentation process time ...
IEEE

A Dynamic Health Index Construction Framework Based on Deep Reinforcement Learning for Prognostic Analysis

Abstract: Intelligent prognostics based on condition monitoring face significant technical challenges, particularly in accurately identifying equipment degradation from multisensor data. Developing a ...
Case Western Reserve University

Teaching & Learning Conference Grants

"College teaching is more than a job. It's a calling, a vocation, and a mission, with distinct responsibilities. We aren't meeting those responsibilities if we don't design meaningful learning ...
GitHub

policy-improvement

A web-based interactive Grid World environment for learning and visualizing reinforcement learning algorithms including policy evaluation, policy improvement, and value iteration. Built with Flask ...
IEEE

Optimizing the dynamic administration regimen of prophylactic enoxaparin in critically ill patients using reinforcement learning

Abstract: This study aims to optimize the dynamic administration regimen of prophylactic enoxaparin in critically ill patients to reduce the risk of VTE, major bleeding, and 30-day all-cause mortality ...
Frontiers

Optimal portfolio selection in jump-uncertain stochastic markets via maximum principle and dynamic programming

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...