Researchers detail technique that enables attackers to ‘steal’ reinforcement learning algorithms
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 ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...
(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 ...
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 ...
The system or algorithm works on deep reinforcement learning (DRL) - a machine learning technique - to adapt to new conditions on the route. Drones and driverless vehicles rely on inbuilt maps or rule ...
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 ...
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 ...
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