Task-motion planning via tree-based Q-learning approach for robotic object displacement in cluttered spaces. Golluccio, G., Di Vito, D., Marino, A., Bria, A., & Antonelli, G. 2021. doi bibtex @conference{golluccio2021task-motion,
year = 2021,
author = {Golluccio, G. and Di Vito, D. and Marino, A. and Bria, A. and Antonelli, G.},
title = {Task-motion planning via tree-based Q-learning approach for robotic object displacement in cluttered spaces},
publisher = {SciTePress},
booktitle = {Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2021},
keywords = {Motion planning; Reinforcement learning; Task planning},
doi = {10.5220/0010542601300137},
isbn = {{978-989-758-522-7}},
pages = {130--137}
}
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