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UAI
2000
15 years 3 months ago
The Complexity of Decentralized Control of Markov Decision Processes
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...
Daniel S. Bernstein, Shlomo Zilberstein, Neil Imme...
ICCBR
2003
Springer
15 years 7 months ago
Case-Based Ranking for Decision Support Systems
Abstract. Very often a planning problem can be formulated as a ranking problem: i.e. to find an order relation over a set of alternatives. The ranking of a finite set of alternat...
Paolo Avesani, Sara Ferrari, Angelo Susi
ECML
2005
Springer
15 years 7 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
ECAI
2008
Springer
15 years 3 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
HICSS
1997
IEEE
107views Biometrics» more  HICSS 1997»
15 years 6 months ago
On Heuristic Mapping of Decision Surfaces for Post-Evaluation Analysis
The value for decision making of high-quality postsolution analysis of decision-supporting models can hardly be overestimated. Candle-lighting analysis (CLA) takes this notion ver...
Major Bill Branley, Russell Fradin, Steven O. Kimb...