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ALT
2007
Springer
14 years 4 months ago
Pseudometrics for State Aggregation in Average Reward Markov Decision Processes
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...
Ronald Ortner
CAV
2007
Springer
112views Hardware» more  CAV 2007»
14 years 1 months ago
Magnifying-Lens Abstraction for Markov Decision Processes
ng-Lens Abstraction for Markov Decision Processes⋆ In Proc. of CAV 2007: 19th International Conference on Computer-Aided Verification, Lectures Notes in Computer Science. c Spri...
Luca de Alfaro, Pritam Roy
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
14 years 3 days ago
Arbitrarily modulated Markov decision processes
— We consider decision-making problems in Markov decision processes where both the rewards and the transition probabilities vary in an arbitrary (e.g., nonstationary) fashion. We...
Jia Yuan Yu, Shie Mannor
AIPS
2009
13 years 8 months ago
Minimal Sufficient Explanations for Factored Markov Decision Processes
Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MD...
Omar Zia Khan, Pascal Poupart, James P. Black
COLING
2010
13 years 2 months ago
Controlling Listening-oriented Dialogue using Partially Observable Markov Decision Processes
This paper investigates how to automatically create a dialogue control component of a listening agent to reduce the current high cost of manually creating such components. We coll...
Toyomi Meguro, Ryuichiro Higashinaka, Yasuhiro Min...