UprightRL: Upright Orientation Estimation of 3D Shapes via Reinforcement Learning

2021 ◽  
Vol 40 (7) ◽  
pp. 265-275
Author(s):  
Luanmin Chen ◽  
Juzhan Xu ◽  
Chuan Wang ◽  
Haibin Huang ◽  
Hui Huang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Orientation Estimation ◽  
Upright Orientation ◽  
3D Shapes

scholarly journals Modeling 3D Shapes by Reinforcement Learning

2020 ◽  
pp. 545-561
Author(s):  
Cheng Lin ◽  
Tingxiang Fan ◽  
Wenping Wang ◽  
Matthias Nießner
Keyword(s):  
Reinforcement Learning ◽  
3D Shapes

Upright orientation of 3D shapes via tensor rank minimization

2014 ◽  
Vol 28 (7) ◽  
pp. 2469-2477 ◽  
Author(s):  
Weiming Wang ◽  
Xiuping Liu ◽  
Ligang Liu
Keyword(s):  
Tensor Rank ◽  
Rank Minimization ◽  
Upright Orientation ◽  
3D Shapes

Next Best View Planning via Reinforcement Learning for Scanning of Arbitrary 3D Shapes

2020 ◽  
Vol 65 (12) ◽  
pp. 1484-1490
Author(s):  
S. G. Potapova ◽  
A. V. Artemov ◽  
S. V. Sviridov ◽  
D. A. Musatkina ◽  
D. N. Zorin ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
View Planning ◽  
Next Best View ◽  
3D Shapes

scholarly journals Upright orientation of 3D shapes with Convolutional Networks

2016 ◽  
Vol 85 ◽  
pp. 22-29 ◽  
Author(s):  
Zishun Liu ◽  
Juyong Zhang ◽  
Ligang Liu
Keyword(s):  
Upright Orientation ◽  
Convolutional Networks ◽  
3D Shapes

Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 115-131 ◽  
Author(s):  
Helen Steingroever ◽  
Ruud Wetzels ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Reinforcement Learning ◽  
Iowa Gambling Task ◽  
Bayes Factors ◽  
Gambling Task ◽  
Learning Models ◽  
Reinforcement Learning Models
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