Tag: deep reinforcement learning

Researchers have developed a deep reinforcement learning method that generates day-ahead pre-control schemes coordinating batteries and generators to protect power ...

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 ...