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AAAI
1998
13 years 10 months ago
Solving Very Large Weakly Coupled Markov Decision Processes
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...
AAAI
1997
13 years 10 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
CCL
1994
Springer
14 years 28 days ago
Ordered Binary Decision Diagrams and the Davis-Putnam Procedure
Abstract. We compare two prominent decision procedures for propositional logic: Ordered Binary Decision Diagrams (obdds) and the DavisPutnam procedure. Experimental results indicat...
Tomás E. Uribe, Mark E. Stickel
KR
1994
Springer
14 years 27 days ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons
HIS
2009
13 years 6 months ago
A Swarm-Based Rough Set Approach for Group Decision Support Systems
This paper present a class of investment problem, in which many items could be chosen in a group decision environment. Usually there is a decision table from the board of director...
Mingyan Zhao, Hongbo Liu, Ajith Abraham, Emilio Co...