(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 ...

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 ...

A newly created artificial intelligence (AI) system based on deep reinforcement learning (DRL) can react to attackers in a simulated environment and block 95% of cyberattacks before they escalate.

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...