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 a systemat...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for the Advancement of Artificial Intelligence
2016
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| Online Access: | http://hdl.handle.net/1721.1/101416 https://orcid.org/0000-0002-1057-3940 https://orcid.org/0000-0001-8959-0059 |