Tag: deep reinforcement learning

Researchers at Huzhou University have developed ESM, a deep reinforcement learning system that adapts video streaming bitrates to improve perceived ...

A new gradient-decoupled privileged baseline method lifts simulated drone navigation success to 96.47 percent under simultaneous wind, noise, delay and ...

Researchers in Shanghai have developed a deep reinforcement learning framework that coordinates edge caching across multiple nodes in smart industrial ...

Researchers at Guizhou University have developed SAGE-DQN SLAM, a deep reinforcement learning system that uses semantic scene understanding and dual ...

A new deep reinforcement learning framework published in Cluster Computing enables cloud networks to dynamically recompose their services in real ...

A new survey in Cluster Computing examines how deep reinforcement learning can manage mobility and preserve quality of service for ...

Researchers have developed RIASO, a real-time offloading algorithm that fuses Lyapunov optimization with multi-output deep reinforcement learning to keep multi-access ...

Researchers have built a dual-agent deep reinforcement learning framework that classifies market strength using classic technical indicators and dynamically selects ...

Researchers in China have built a deep reinforcement learning system that analyzes biomechanical sensor data from martial artists and delivers ...

Researchers at SASTRA Deemed University have combined deep reinforcement learning with an adaptive war strategy to let cognitive radio networks ...