Tag: deep reinforcement learning

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

Researchers have developed an LSTM-enhanced deep reinforcement learning framework that adaptively schedules cloud workflows, delivering statistically significant improvements in makespan, ...

Researchers have developed a deep reinforcement learning framework that continuously adapts its market forecasts, achieving an average cumulative return of ...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to ...

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 Harbin Institute of Technology have developed a deep learning pursuit strategy that predicts an evading spacecraft's maneuvers, boosting ...