Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis.
Brenden K. PetersenJiachen YangWill S. GrathwohlChase CockrellClaudio SantiagoGary AnDaniel M. FaissolPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- control problems
- adaptive control
- adaptive learning
- traffic signal
- robot control
- optimal control
- flight control
- simulation model
- function approximation
- control method
- control system
- control strategies
- e learning
- high precision
- simulation study
- traffic signal control
- robotic control
- therapy planning
- medical decision making
- discrete event
- learning capabilities
- temporal difference
- mathematical model
- learning process
- learning environment
- control policy
- multi agent
- matlab simulink
- initial stage
- action selection
- user modeling
- robocup soccer
- control strategy