Partially Observable Markov Decision Processes and Performance Sensitivity Analysis.
Yanjie LiBaoqun YinHongsheng XiPublished in: IEEE Trans. Syst. Man Cybern. Part B (2008)
Keyphrases
- sensitivity analysis
- partially observable markov decision processes
- finite state
- reinforcement learning
- dynamical systems
- planning under uncertainty
- dynamic programming
- optimal policy
- decision problems
- belief state
- continuous state
- variational inequalities
- state space
- belief space
- partially observable stochastic games
- markov decision processes
- managerial insights
- influence diagrams
- planning problems
- partially observable markov
- stochastic domains
- partially observable domains
- multi agent
- partially observable
- sequential decision making problems
- approximate solutions
- decision theoretic planning
- infinite horizon
- dec pomdps
- domain independent
- predictive state representations
- markov chain
- linear programming
- special case
- computational complexity