(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 ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...