The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments.
Jingyu XuWeixiang WanLinying PanWenjian SunYuxiang LiuPublished in: CoRR (2024)
Keyphrases
- real time
- reinforcement learning
- control system
- data acquisition
- robotic control
- control problems
- situational awareness
- optimal control
- control center
- robot control
- sensor fusion
- real time control
- edge detection
- machine learning
- human operators
- controlled environments
- management system
- model free
- function approximation
- control strategies
- optimization problems
- activity monitoring
- optimization algorithm
- information fusion
- data fusion
- adaptive control
- control policy
- real world
- control signals
- control loop
- multi sensor
- low cost
- optimization method
- markov decision processes
- high speed
- monitoring system
- dynamic environments
- multi agent
- evolutionary algorithm
- state space
- vision system
- complex event processing
- health monitoring
- inverted pendulum
- cloud computing
- edge information
- real environment
- edge detector
- image fusion
- robotic systems
- control method