Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies.
Nicholas PrayogoDavood Pirayesh NeghabSyed Mahbub RafayalMucahit CevikPublished in: CASCON (2022)
Keyphrases
- markov chain
- transition probabilities
- partially observable
- state space
- lung cancer
- monte carlo simulation
- markov decision problems
- reward function
- steady state
- markov model
- finite state
- monte carlo
- transition matrix
- partially observable markov decision processes
- markov models
- dynamical systems
- monte carlo method
- random walk
- decision problems
- probabilistic model
- markov decision processes
- complex systems
- optimal policy
- reinforcement learning