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Dynamic programming / Partially observable Markov decision process / Stochastic control / Search algorithms / Vector space / K-d tree / Norm / Metric tree / K-nearest neighbor algorithm / Algebra / Mathematics / Linear algebra


Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey Gordon School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213
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Document Date: 2004-01-17 12:21:11


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File Size: 128,06 KB

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Company

Neural Information Processing Systems / /

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Facility

Computer Science Carnegie Mellon University / The Hong-Kong University of Science / /

IndustryTerm

grid-based and point-based approximation algorithms / metric-tree applications / tractable point-based approximate algorithm / approximate algorithms / heuristic algorithm / point-to-point search procedures / search procedure / improved grid-based approximation algorithm / search problem / metric-tree algorithms / sequential search / robot applications / typical metric-tree applications / metric-tree algorithm / Point-based value iteration algorithms / /

Organization

Geoffrey Gordon School of Computer Science Carnegie Mellon University Pittsburgh / National Science Foundation / Hong-Kong University of Science and Technology / Carnegie Mellon / Stanford University Stanford / /

Person

Joelle Pineau / max b / Sebastian Thrun / /

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Position

POMDP planner / representative / planner / /

ProvinceOrState

California / /

PublishedMedium

Journal of Artificial Intelligence Research / /

Technology

alpha / metric-tree algorithms / point-based algorithms / artificial intelligence / grid-based and point-based approximation algorithms / POMDP algorithms / tractable point-based approximate algorithm / Point-based value iteration algorithms / point-based POMDP algorithms / point-based algorithm / classical POMDP algorithms / metric-tree algorithm / PBVI algorithm / same point-based POMDP algorithm / improved grid-based approximation algorithm / /

URL

http /

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