Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
Runzhe WanYu LiuJames McQueenDoug HainsRui SongPublished in: KDD (2023)
Keyphrases
- sequential decision making
- reinforcement learning
- continuous monitoring
- wireless sensor networks
- function approximation
- real time
- health monitoring
- temporal difference
- state space
- reinforcement learning algorithms
- multi agent
- bayesian networks
- spatial queries
- markov decision processes
- decision problems
- learning algorithm
- decision theory
- optimal policy
- machine learning
- model free
- action selection
- supervised learning
- daily life
- text classification
- multi dimensional
- knn
- multiresolution
- decision making