Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...
Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...
Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...
Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...
Abstract: Multitask optimization aims to solve two or more optimization tasks simultaneously by leveraging intertask knowledge transfer. However, as the number of tasks increases to the extent of many ...