Tag: deep Q-network

An offline simulation using 12.53 million KuaiRec interactions found that a DQN recommender generated longer simulated sessions and more diverse ...

Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that ...

Researchers have combined deep reinforcement learning with evolutionary computation to create an algorithm that adaptively selects genetic operators and transfers ...

Researchers combined Monte Carlo Tree Search-tuned deep reinforcement learning with the GEMMA industrial safety framework to detect equipment faults early ...

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

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