Generalizing Markov decision processes to imprecise probabilities

Journal of Statistical Planning and Inference

Volumn 105, Issue 1, 2002, Pages 199-213

  Harmanec, David ^a  

^a INSTITUTE OF COMPUTER SCIENCE   (Czech Republic)

Author keywords

Generalized Markov decision process; Interval utilities; Sequential decision making

Indexed keywords

EID: 0037097188     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3758(01)00210-5     Document Type: Article

References (17)

1. Theory of capacities
2. Quasi-Bayesian strategies for efficient plan generation: Application to the 'planning to observed' problem
3. Model reduction techniques for computing approximately optimal solutions for Markov decision processes
4. Sound abstraction of probabilistic actions in the constraint mass assignment framework
5. Bounded parameter Markov decision processes
6. Theoretical foundations for abstraction-based probabilistic planning
7. Algorithms for sequential decision making
8. Markov Decision Processes: Discrete Stochastic Dynamic Programming
9. Markovian decision processes with uncertain transition probabilities
10. Generalized Markov decision processes: Dynamic-programming and reinforcement-learning algorithms
11. Statistical Reasoning With Imprecise Probabilities
12. Sequential decision making under uncertain future preferences
13. Parameter imprecision in finite state, finite action dynamic programs
14. Markov decision processes with imprecise transition probabilities
15. Markov decision processes
16. Finite horizon Markov decision processes with uncertain terminal payoffs