Open AccessDiscovering State and Action Abstractions for Generalized Task and Motion Planning
Author(s) -
Aidan Curtis,
Tom Silver,
Joshua B. Tenenbaum,
Tomás LozanoPérez,
Leslie Pack Kaelbling
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.v36i5.20475
Subject(s) - task (project management) , plan (archaeology) , computer science , action (physics) , motion planning , motion (physics) , domain (mathematical analysis) , simple (philosophy) , state (computer science) , artificial intelligence , mathematical optimization , robot , algorithm , mathematics , engineering , mathematical analysis , philosophy , physics , systems engineering , archaeology , epistemology , quantum mechanics , history
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