Learning Quickly to Plan Quickly Using Modular Meta-Learning

Learning Quickly to Plan Quickly Using Modular Meta-Learning

Multi-object manipulation problems in continuous state and action spaces can be solved by planners that search over sampled values for the continuous parameters of operators. The efficiency of these planners depends critically on the effectiveness of the samplers used, but effective sampling in turn...

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Bibliographic Details
Main Authors: Chitnis, Rohan, Kaelbling, Leslie P, Lozano-Pérez, Tomás
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/129777

Internet

https://hdl.handle.net/1721.1/129777

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