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UAI
2000
13 years 10 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
14 years 2 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
14 years 2 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
13 years 10 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»
14 years 1 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...