280 search results - page 19 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
173
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AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
15 years 8 months ago
: 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...
223
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IRI
2008
IEEE
16 years 1 months ago
2008
IEEE
—Supply chain [2], [6] is an important component of business operations. Understanding its stochastic behaviors is the key to risk analysis and performance evaluation in supply c...
164
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AI
2006
Springer
15 years 10 months ago
2006
Springer
We are interested in contributing to solving effectively a particular type of real-time stochastic resource allocation problem. Firstly, one distinction is that certain tasks may c...
155
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AIPS
2003
15 years 8 months ago
2003
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
208
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PE
2011
Springer
15 years 1 months ago
2011
Springer
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...