Open AccessLearning Probably Approximately Complete and Safe Action Models for Stochastic Worlds
Author(s) -
Brendan Juba,
Roni Stern
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i9.21215
Subject(s) - probabilistic logic , action (physics) , computer science , set (abstract data type) , interval (graph theory) , domain (mathematical analysis) , statistical model , artificial intelligence , machine learning , mathematics , mathematical analysis , physics , quantum mechanics , combinatorics , programming language
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