A framework and a mean-field algorithm for the local control of spatial processes
The Markov Decision Process (MDP) framework is a tool for the efficient modelling and solving of sequential decision-making problems under uncertainty. However, it reaches its limits when state and action spaces are large, as can happen for spatially explicit decision problems. Factored MDPs and ded...
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Veröffentlicht in: | International journal of approximate reasoning 2012, Vol.53 (1), p.66-86 |
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Sprache: | eng |
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