Nature

Reinforcement Learning for Smart Building Energy Management

Reinforcement learning (RL) represents a paradigm shift in smart building energy management by enabling systems to dynamically adapt to changing environmental conditions and occupant behaviours.
Yahoo Finance

Hanbat National University Study Shows Quantum Computing Can Make Your Home Smarter and Greener

Quantum reinforcement learning for HVAC control in residential buildings combines real-time occupancy detection with quantum computing principles DAEJEON, South Korea, Oct. 2, 2025 /PRNewswire/ -- ...
Business Insider

University of Electro-Communications e-Bulletin: Innovative automated control systems: Control-theoretic approach for fast online reinforcement learning

TOKYO, Feb. 26, 2021 /PRNewswire/ -- University of Electro-Communications publishes the February 2021 issue of UEC e-Bulletin The February 2021 issue of the UEC e-Bulletin includes an informative ...
Queen Mary University of London

Autonomous Intent-Driven Optical Networks: A Unified Framework Integrating Deep Reinforcement Learning and Generative AI

In collaboration with Kyndryl, this research project will propose a comprehensive framework for autonomous optical network management that seamlessly integrates intent-based control, deep ...