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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