Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.
Chenxi SunShenda HongMoxian SongJunyuan ShangHongyan LiPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- action space
- reinforcement learning
- control policies
- state space
- markov decision processes
- state and action spaces
- control problems
- real valued
- continuous state
- vital signs
- action selection
- continuous state spaces
- stochastic processes
- reinforcement learning methods
- optimal control
- supervised learning
- control system
- state action
- function approximators
- health monitoring
- learning algorithm
- function approximation
- monitoring system
- machine learning
- continuous action
- markov decision process
- single agent
- control policy
- heart rate
- context aware
- semi supervised
- dynamic programming
- search space
- multi agent
- feature selection
- traumatic brain injury