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» Motion Planning with Uncertainty
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ECIS
2003
13 years 9 months ago
Provision of customer knowledge to supply chains
Knowledge about customers is vital for supply chains in order to ensure customer satisfaction. In an ideal supply chain environment, supply chain partners are able to perform plan...
Roland Holten, Alexander Dreiling
AAAI
1996
13 years 8 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
AIPS
2009
13 years 8 months ago
Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners
Finite-state and memoryless controllers are simple action selection mechanisms widely used in domains such as videogames and mobile robotics. Memoryless controllers stand for func...
Blai Bonet, Héctor Palacios, Hector Geffner
BPM
2009
Springer
101views Business» more  BPM 2009»
13 years 8 months ago
Experiencing Process Flexibility Patterns with Alaska Simulator
Alaska Simulator is an interactive software tool developed at the University of Innsbruck which allows people to explore different approaches to process flexibility by using a fami...
Barbara Weber, Stefan Zugal, Jakob Pinggera, Werne...
ECAI
2010
Springer
13 years 8 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng