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

Dynamic Graph-Based Deep Reinforcement Learning to V2X Channel Congestion Collaborative Control

Abstract: As an important component of intelligent transportation systems, vehicle-to-everything (V2X) provides critical communication support for road safety through real-time interactive and ...
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 ...