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The logic of adaptive behavior: knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains
Markov decision processes have become the de facto standard in modeling and solving sequential decision making problems under uncertainty. This book studies lifting Markov decision processes, reinforcement learning and dynamic programming to the first-order (or, relational) setting.
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| Lenguaje: | eng |
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IOS Press
2009
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| Acceso en línea: | http://cds.cern.ch/record/1608202 |