An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds

In this technical report, we provide a complete example of running the SAM+ algorithm, an algorithm for learning stochastic planning action models, on a simplified PPDDL version of the Coffee problem. We provide a very brief description of the SAM+ algorithm and detailed description of our simplifie...

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Bibliographic Details
Main Authors Juba, Brendan, Stern, Roni
Format Journal Article
LanguageEnglish
Published 23.03.2022
Subjects
Computer Science - Artificial Intelligence
Online AccessGet full text
DOI10.48550/arxiv.2203.12499

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Summary:In this technical report, we provide a complete example of running the SAM+ algorithm, an algorithm for learning stochastic planning action models, on a simplified PPDDL version of the Coffee problem. We provide a very brief description of the SAM+ algorithm and detailed description of our simplified version of the Coffee domain, and then describe the results of running it on the simplified Coffee domain.
DOI:10.48550/arxiv.2203.12499