Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
Runzhe WanYu LiuJames McQueenDoug HainsRui SongPublished in: CoRR (2023)
Keyphrases
- sequential decision making
- reinforcement learning
- continuous monitoring
- real time
- wireless sensor networks
- health monitoring
- temporal difference
- state space
- function approximation
- optimal policy
- model free
- learning algorithm
- reinforcement learning algorithms
- machine learning
- markov decision processes
- decision problems
- transfer learning
- spatial queries
- multi agent
- action selection
- supervised learning
- influence diagrams
- decision theory
- dynamic programming
- data analysis
- data mining