Tag: reinforcement learning

A new framework called MR-UIE trains large language models to reason from multiple perspectives before extracting structured information, setting new ...

A comprehensive review in Artificial Intelligence Review argues that reinforcement learning can overcome the static limitations of traditional recommender systems, ...

Researchers have developed a physics-aware graph neural network that detects power grid anomalies hidden by manipulated measurements and deceptive network ...

A reinforcement learning model that designs synthetically accessible molecules from scratch, combined with expert medicinal chemistry, produced a tyrosinase inhibitor ...

Researchers propose that interactive virtual reality experiences engineered to generate positive reward prediction errors could retrain the brain's reward system ...

A comprehensive new survey documents how reinforcement learning has become a foundational tool for aligning image, video, and 3D generative ...

A new survey in Cluster Computing provides the first unified taxonomy of task scheduling and load balancing algorithms across cloud, ...

A comprehensive new review maps how reinforcement learning, from Q-learning to deep multimodal frameworks, is transforming robotic peg-in-hole insertion for ...

Researchers at Sun Yat-sen University developed an adaptive deep reinforcement learning guidance method that lets a target spacecraft and its ...

Recurrent neural networks trained only with a synchronization reward reproduce hallmark features of human beat tapping, including negative mean asynchrony ...