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- W186506571 abstract "Recent research on point-based approximation algorithms for POMDPs demonstrated that good solutions to POMDP problems can be obtained without considering the entire belief simplex. For instance, the Point Based Value Iteration (PBVI) algorithm [Pineau et al., 2003] computes the value function only for a small set of belief states and iteratively adds more points to the set as needed. A key component of the algorithm is the strategy for selecting belief points, such that the space of reachable beliefs is well covered. This paper presents a new method for selecting an initial set of representative belief points, which relies on finding first the basis for the reachable belief simplex. Our approach has better worst-case performance than the original PBVI heuristic, and performs well in several standard POMDP tasks." @default.
- W186506571 created "2016-06-24" @default.
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- W186506571 date "2005-07-30" @default.
- W186506571 modified "2023-09-26" @default.
- W186506571 title "Using core beliefs for point-based value iteration" @default.
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