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. doi bibtex @conference{golluccio2021robotic,
year = 2021,
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},
publisher = {IEEE},
booktitle = {2021 20th International Conference on Advanced Robotics (ICAR)},
keywords = {Measurement Q-learning Heuristic algorithms Search problems Manipulators Learning (Artificial Intelligence) Mobile robots Path planning Tree searching Planning Trajectory},
doi = {10.1109/ICAR53236.2021.9659471},
isbn = {{978-1-6654-3684-7}},
pages = {676--681}
}
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