RAO*: an Algorithm for Chance-Constrained POMDP's

RAO*: an Algorithm for Chance-Constrained POMDP's

Autonomous agents operating in partially observable stochastic environments often face the problem of optimizing expected performance while bounding the risk of violating safety constraints. Such problems can be modeled as chance-constrained POMDP's (CC-POMDP's). Our first contribution is...

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Bibliographic Details
Main Authors: Santana, Pedro (Contributor), Thiebaux, Sylvie (Author), Williams, Brian Charles (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence, 2016-03-02T23:12:33Z.
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