Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques

Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques. Golluccio, G., Di Vito, D., Marino, A., & Antonelli, G. 2021. Cited by: 4

Paper doi bibtex

@conference{golluccio2021robotic,
	author       = {Golluccio, Giacomo and Di Vito, Daniele and Marino, Alessandro and Antonelli, Gianluca},
	title        = {Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques},
	year         = 2021,
	journal      = {2021 20th International Conference on Advanced Robotics, ICAR 2021},
	pages        = {676 – 681},
	doi          = {10.1109/ICAR53236.2021.9659471},
	url          = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124690045&doi=10.1109%2fICAR53236.2021.9659471&partnerID=40&md5=a50dd2a9a4720c7aa862a08b32f29455},
	publisher    = {Institute of Electrical and Electronics Engineers Inc.},
	isbn         = {978-166543684-7},
	language     = {English},
	abbrev_source_title = {Int. Conf. Adv. Robot., ICAR},
	type         = {Conference paper},
	publication_stage = {Final},
	source       = {Scopus},
	note         = {Cited by: 4}
}

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