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Conference Papers Year : 2010

Distribution over Beliefs for Memory Bounded Dec-POMDP Planning

Abstract

We propose a new point-based method for approximate planning in Dec-POMDP which outperforms the state-of-the-art approaches in terms of solution quality. It uses a heuris- tic estimation of the prior probability of be- liefs to choose a bounded number of policy trees: this choice is formulated as a combina- torial optimisation problem minimising the error induced by pruning.
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Dates and versions

inria-00546912 , version 1 (15-12-2010)

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  • HAL Id : inria-00546912 , version 1

Cite

Gabriel Corona, François Charpillet. Distribution over Beliefs for Memory Bounded Dec-POMDP Planning. The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Association for Uncertainty in Artificial Intelligence (AUAI)., Jul 2010, Catalina Island, California, United States. ⟨inria-00546912⟩
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