Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning.
Elizabeth Akinyi OndulaPublished in: AAAI (2024)
Keyphrases
- reinforcement learning
- function approximation
- partial observability
- state space
- inherent uncertainty
- learning algorithm
- uncertain data
- learning process
- incomplete information
- sequential decision problems
- transition model
- stochastic approximation
- robust optimization
- reinforcement learning algorithms
- temporal difference
- model free
- markov decision processes
- optimal policy
- multi agent
- data sets
- decision theory
- optimal control
- possibility theory
- supervised learning
- dynamic programming
- multi agent reinforcement learning
- machine learning
- robotic control
- real time