Active Screening for Recurrent Diseases: A Reinforcement Learning Approach.
Han-Ching OuHaipeng ChenShahin JabbariMilind TambePublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- diabetic retinopathy
- reinforcement learning algorithms
- model free
- drug discovery
- image analysis
- state space
- neural network
- active databases
- temporal difference
- recurrent neural networks
- learning problems
- transfer learning
- artificial neural networks
- learning algorithm
- data sets
- high throughput
- feed forward
- optimal policy
- optimal control
- dynamic programming
- multi agent
- data mining
- temporal difference learning
- transition model
- robotic control