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» Problem formulation as the reduction of a decision model
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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
IOR
2008
105views more  IOR 2008»
13 years 8 months ago
The Stochastic Knapsack Revisited: Switch-Over Policies and Dynamic Pricing
The stochastic knapsack has been used as a model in wide ranging applications from dynamic resource allocation to admission control in telecommunication. In recent years, a variat...
Grace Y. Lin, Yingdong Lu, David D. Yao
ECIS
2003
13 years 10 months ago
Leveraging organizational knowledge to formulate manufacturing strategy
This paper describes a web-based system that integrates knowledge management and decision-making features to enable short-term communities of practice develop manufacturing strate...
Nikos I. Karacapilidis, Emmanuel Adamides, Christi...
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 3 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CATS
2007
13 years 10 months ago
Effective Prediction and its Computational Complexity
A model for the problem of predicting the outputs of a process, based only on knowledge of previous outputs, is proposed in terms of a decision problem. The strength of this parti...
Richard Taylor