IEEE

Hierarchical Reinforcement Learning Approach for Real-Time Optimal Power Flow

Abstract: With the development of artificial intelligence, deep reinforcement learning (DRL) has shown a promising prospect for solving the real-time dispatch problem in real-world power systems.

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

Optimizing Wastewater Treatment Control Using Policy-Constrained Offline Reinforcement Learning and Lyapunov Density Model

Abstract: Wastewater treatment plants (WWTPs) constitute a crucial component of contemporary societal infrastructure, playing a critical role in purifying and recycling wastewater from both municipal ...
Science Daily

This AI finds simple rules where humans see only chaos

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...