-
1
-
-
84887290913
-
Learning monocular reactive uav control in cluttered natural environments
-
IEEE
-
S. Ross, N. Melik-Barkhudarov, K. S. Shankar, A. Wendel, D. Dey, J. A. Bagnell, and M. Hebert. Learning monocular reactive uav control in cluttered natural environments. In Robotics and Automation (ICRA), 2013 IEEE International Conference on, pages 1765-1772. IEEE, 2013.
-
(2013)
Robotics and Automation (ICRA), 2013 IEEE International Conference on
, pp. 1765-1772
-
-
Ross, S.1
Melik-Barkhudarov, N.2
Shankar, K. S.3
Wendel, A.4
Dey, D.5
Bagnell, J. A.6
Hebert, M.7
-
2
-
-
85010075270
-
-
arXiv preprint arXiv:1604.07316
-
M. Bojarski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, et al. End to end learning for self-driving cars. arXiv preprint arXiv:1604.07316, 2016.
-
(2016)
End to end learning for self-driving cars
-
-
Bojarski, M.1
Del Testa, D.2
Dworakowski, D.3
Firner, B.4
Flepp, B.5
Goyal, P.6
Jackel, L. D.7
Monfort, M.8
Muller, U.9
Zhang, J.10
-
3
-
-
85041944294
-
Deep predictive policy training using reinforcement learning
-
IEEE
-
A. Ghadirzadeh, A. Maki, D. Kragic, and M. Björkman. Deep predictive policy training using reinforcement learning. In Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, pages 2351-2358. IEEE, 2017.
-
(2017)
Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on
, pp. 2351-2358
-
-
Ghadirzadeh, A.1
Maki, A.2
Kragic, D.3
Björkman, M.4
-
5
-
-
84906493406
-
Microsoft coco: Common objects in context
-
Springer
-
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft coco: Common objects in context. In European conference on computer vision, pages 740-755. Springer, 2014.
-
(2014)
European conference on computer vision
, pp. 740-755
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Zitnick, C. L.8
-
6
-
-
85018889357
-
Learning to poke by poking: Experiential learning of intuitive physics
-
P. Agrawal, A. V. Nair, P. Abbeel, J. Malik, and S. Levine. Learning to poke by poking: Experiential learning of intuitive physics. In Advances in Neural Information Processing Systems, pages 5074-5082, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 5074-5082
-
-
Agrawal, P.1
Nair, A. V.2
Abbeel, P.3
Malik, J.4
Levine, S.5
-
8
-
-
84990833502
-
The curious robot: Learning visual representations via physical interactions
-
Springer
-
L. Pinto, D. Gandhi, Y. Han, Y.-L. Park, and A. Gupta. The curious robot: Learning visual representations via physical interactions. In European Conference on Computer Vision, pages 3-18. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 3-18
-
-
Pinto, L.1
Gandhi, D.2
Han, Y.3
Park, Y.-L.4
Gupta, A.5
-
10
-
-
84941943714
-
Learning state representations with robotic priors
-
R. Jonschkowski and O. Brock. Learning state representations with robotic priors. Autonomous Robots, 39(3):407-428, 2015.
-
(2015)
Autonomous Robots
, vol.39
, Issue.3
, pp. 407-428
-
-
Jonschkowski, R.1
Brock, O.2
-
11
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems, pages 3111-3119, 2013.
-
(2013)
Advances in neural information processing systems
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G. S.4
Dean, J.5
-
15
-
-
84928013181
-
Deep learning for detecting robotic grasps
-
I. Lenz, H. Lee, and A. Saxena. Deep learning for detecting robotic grasps. The International Journal of Robotics Research, 34(4-5):705-724, 2015.
-
(2015)
The International Journal of Robotics Research
, vol.34
, Issue.4-5
, pp. 705-724
-
-
Lenz, I.1
Lee, H.2
Saxena, A.3
-
16
-
-
85028025579
-
Multi-view selfsupervised deep learning for 6d pose estimation in the amazon picking challenge
-
IEEE
-
A. Zeng, K.-T. Yu, S. Song, D. Suo, E. Walker, A. Rodriguez, and J. Xiao. Multi-view selfsupervised deep learning for 6d pose estimation in the amazon picking challenge. In Robotics and Automation (ICRA), 2017 IEEE International Conference on, pages 1386-1383. IEEE, 2017.
-
(2017)
Robotics and Automation (ICRA), 2017 IEEE International Conference on
, pp. 1386-1383
-
-
Zeng, A.1
Yu, K.-T.2
Song, S.3
Suo, D.4
Walker, E.5
Rodriguez, A.6
Xiao, J.7
-
17
-
-
85039851901
-
Grasp pose detection in point clouds
-
A. ten Pas, M. Gualtieri, K. Saenko, and R. Platt. Grasp pose detection in point clouds. The International Journal of Robotics Research, page 0278364917735594, 2017.
-
(2017)
The International Journal of Robotics Research
, pp. 0278364917735594
-
-
ten Pas, A.1
Gualtieri, M.2
Saenko, K.3
Platt, R.4
-
18
-
-
85060792641
-
-
arXiv preprint arXiv:1707.01932
-
E. Jang, S. Vijaynarasimhan, P. Pastor, J. Ibarz, and S. Levine. End-to-end learning of semantic grasping. arXiv preprint arXiv:1707.01932, 2017.
-
(2017)
End-to-end learning of semantic grasping
-
-
Jang, E.1
Vijaynarasimhan, S.2
Pastor, P.3
Ibarz, J.4
Levine, S.5
-
20
-
-
85047009130
-
Hindsight experience replay
-
I. Guyon, U. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, editors, pages Curran Associates, Inc
-
M. Andrychowicz, F.Wolski, A. Ray, J. Schneider, R. Fong, P.Welinder, B. McGrew, J. Tobin, O. Pieter Abbeel, and W. Zaremba. Hindsight experience replay. In I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, editors, Advances in Neural Information Processing Systems 30, pages 5048-5058. Curran Associates, Inc., 2017.
-
(2017)
Advances in Neural Information Processing Systems
, vol.30
, pp. 5048-5058
-
-
Andrychowicz, M.1
Wolski, F.2
Ray, A.3
Schneider, J.4
Fong, R.5
Welinder, P.6
McGrew, B.7
Tobin, J.8
Pieter Abbeel, O.9
Zaremba, W.10
-
21
-
-
85060468003
-
-
arXiv preprint arXiv:1707.03300
-
S. Cabi, S. G. Colmenarejo, M.W. Hoffman, M. Denil, Z.Wang, and N. De Freitas. The intentional unintentional agent: Learning to solve many continuous control tasks simultaneously. arXiv preprint arXiv:1707.03300, 2017.
-
(2017)
The intentional unintentional agent: Learning to solve many continuous control tasks simultaneously
-
-
Cabi, S.1
Colmenarejo, S. G.2
Hoffman, M.W.3
Denil, M.4
Wang, Z.5
De Freitas, N.6
-
22
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In CVPR, pages 770-778, 2016.
-
(2016)
CVPR
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
23
-
-
85019212032
-
Improved deep metric learning with multi-class n-pair loss objective
-
D. D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, and R. Garnett, editors, pages Curran Associates, Inc
-
K. Sohn. Improved deep metric learning with multi-class n-pair loss objective. In D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett, editors, Advances in Neural Information Processing Systems 29, pages 1857-1865. Curran Associates, Inc., 2016.
-
(2016)
Advances in Neural Information Processing Systems
, vol.29
, pp. 1857-1865
-
-
Sohn, K.1
-
24
-
-
85063312365
-
-
arXiv preprint arXiv:1806.10293
-
D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke, et al. Qt-opt: Scalable deep reinforcement learning for visionbased robotic manipulation. arXiv preprint arXiv:1806.10293, 2018.
-
(2018)
Qt-opt: Scalable deep reinforcement learning for visionbased robotic manipulation
-
-
Kalashnikov, D.1
Irpan, A.2
Pastor, P.3
Ibarz, J.4
Herzog, A.5
Jang, E.6
Quillen, D.7
Holly, E.8
Kalakrishnan, M.9
Vanhoucke, V.10
-
26
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115(3):211-252, 2015.
-
(2015)
International Journal of Computer Vision
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
-
27
-
-
85041904911
-
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
-
IEEE
-
J. Johnson, B. Hariharan, L. van der Maaten, L. Fei-Fei, C. L. Zitnick, and R. Girshick. Clevr: A diagnostic dataset for compositional language and elementary visual reasoning. In Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, pages 1988-1997. IEEE, 2017.
-
(2017)
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on
, pp. 1988-1997
-
-
Johnson, J.1
Hariharan, B.2
van der Maaten, L.3
Fei-Fei, L.4
Zitnick, C. L.5
Girshick, R.6
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