Planning treatment of ischemic heart disease with partially observable Markov decision processes.
Milos HauskrechtHamish S. F. FraserPublished in: Artif. Intell. Medicine (2000)
Keyphrases
- heart disease
- partially observable markov decision processes
- stochastic domains
- finite state
- belief space
- planning problems
- planning under uncertainty
- medical diagnosis
- decision problems
- dynamical systems
- reinforcement learning
- belief state
- partially observable stochastic domains
- partial observability
- sequential decision making problems
- optimal policy
- partially observable
- state space
- markov decision processes
- dynamic programming
- medical practitioners
- partially observable stochastic games
- predictive state representations
- partially observable domains
- multi agent
- point based value iteration
- decision theoretic planning
- probabilistic planning
- ai planning
- computational complexity
- information systems
- partially observable markov decision process
- expert systems
- initial state
- markov chain
- x ray
- heuristic search
- domain independent