Learning to guide task and motion planning using score-space representation

In this paper, we propose a learning algorithm that speeds up the search in task and motion planning problems. Our algorithm proposes solutions to three different challenges that arise in learning to improve planning efficiency: what to predict, how to represent a planning problem instance, and how...

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Bibliographic Details
Main Authors: Kim, Beomjoon, Wang, Zi, Kaelbling, Leslie P, Lozano-Pérez, Tomás
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: SAGE Publications 2021
Online Access:https://hdl.handle.net/1721.1/129975