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Inverse Markov decision processes with unknown transition probabilities
Zahra Ghatrani
,
Archis Ghate
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Keyphrases
Transition Probability
100%
Markov Decision Process
100%
Unknown Transition Probabilities
100%
Decision Maker
75%
Numerical Experiments
50%
Sequential Linear Programming
50%
Mathematical Model
25%
Multi-armed Bandit Problem
25%
Nonconvex
25%
Equipment Replacement
25%
Linear Programming
25%
Bilinear
25%
Decision Variables
25%
Exact Method
25%
Infinite Horizon
25%
Objective Value
25%
Inventory Control
25%
Discounted Reward
25%
Computational Experiment
25%
Existence Conditions
25%
Convex-concave Procedure
25%
Inverse Optimization
25%
Control Equipment
25%
Mathematics
Transition Probability
100%
Markov Decision Process
100%
Decision Maker
60%
Numerical Experiment
40%
Optimal Policy
40%
Linear Programming
40%
Mathematical Modeling
20%
Observed Value
20%
Decision Variable
20%
Linear Program
20%
Computer Science
Markov Decision Process
100%
Decision Maker
100%
Linear Programming
66%
Computational Experiment
33%
Linear Program
33%
Decision Variable
33%
Observed Policy
33%