A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19.
Rahul SinghFang LiuNess B. ShroffPublished in: CoRR (2020)
Keyphrases
- partially observable
- infectious disease
- markov decision processes
- state space
- reinforcement learning
- markov decision problems
- decision problems
- dynamical systems
- partial observability
- infinite horizon
- reward function
- public health
- partial observations
- action models
- partially observable environments
- data sharing
- early warning
- optimal policy
- belief state
- partially observable markov decision process
- markov decision process
- supply chain
- dynamic programming
- heuristic search
- decision making
- information systems