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CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
Author(s) -
Anirudh Vemula,
J. Andrew Bagnell,
Maxim Likhachev
Publication year - 2021
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.v35i7.16765
Subject(s) - computer science , task (project management) , motion planning , planner , artificial intelligence , cmax , path (computing) , object (grammar) , machine learning , completeness (order theory) , mathematical optimization , robot , mathematics , engineering , mathematical analysis , bioinformatics , systems engineering , biology , programming language , bioavailability

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