Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.
Chao YuGuoqi RenYinzhao DongPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- actor critic
- reinforcement learning
- intensive care units
- temporal difference
- policy gradient
- reinforcement learning algorithms
- approximate dynamic programming
- neuro fuzzy
- monitoring system
- supervised learning
- optimal control
- intensive care
- function approximation
- learning algorithm
- gradient method
- policy iteration
- machine learning
- state space
- semi supervised
- decision support
- multi agent
- policy gradient methods
- learning problems
- model free
- average reward
- markov decision processes
- optimal policy
- action selection
- partially observable markov decision processes
- long run
- temporal difference learning
- reinforcement learning methods
- rl algorithms
- evaluation function
- monte carlo
- data sets