Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of researchers at Nanyang Technological University in Singapore ...
(a) Control scheme used for reinforcement learning (RL). (b) RL control successfully drives plasma through the valley of tearability, avoiding instabilities. The effective use of an AI/DRL algorithm ...
Our eLibrary offers over 25,000 IMF publications in multiple formats. The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of ...
With the development of satellite networks, space-air-ground integrated networks, and the Internet of Things, the future giant constellations, high-resolution earth observation, human-crewed ...
Human motor control has always been efficient at executing complex movements naturally, efficiently, and without much thought involved. This is because of the existence of motor synergy in the central ...
Dynamically Reconfigurable Logic (DRL) means different things to different people. Generally-speaking though, whenever people refer to 'DRL' they mean any semiconductor technology that can rapidly ...
What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...