-
3
-
-
63149159130
-
A survey of robot learning from demonstration
-
Brenna D Argall, Sonia Chernova, Manuela Veloso, and Brett Browning. A survey of robot learning from demonstration. Robotics and autonomous systems, 57(5):469-483, 2009.
-
(2009)
Robotics and autonomous systems
, vol.57
, Issue.5
, pp. 469-483
-
-
Argall, Brenna D1
Chernova, Sonia2
Veloso, Manuela3
Browning, Brett4
-
5
-
-
84864053268
-
Kernelized infomax clustering
-
D. Barber and F. V. Agakov. Kernelized infomax clustering. NIPS, 2005.
-
(2005)
NIPS
-
-
Barber, D.1
Agakov, F. V.2
-
7
-
-
0347070452
-
Unsupervised classifiers, mutual information and phantom targets
-
J. S. Bridle, A. J. Heading, and D. J. MacKay. Unsupervised classifiers, mutual information and phantom targets. NIPS, 1992.
-
(1992)
NIPS
-
-
Bridle, J. S.1
Heading, A. J.2
MacKay, D. J.3
-
8
-
-
0005594495
-
-
Jane Bromley, James W Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, and Roopak Shah. Signature verification using a siamese time delay neural network.
-
Signature verification using a siamese time delay neural network
-
-
Bromley, Jane1
Bentz, James W2
Bottou, Léon3
Guyon, Isabelle4
LeCun, Yann5
Moore, Cliff6
Säckinger, Eduard7
Shah, Roopak8
-
11
-
-
34047173490
-
On learning, representing, and generalizing a task in a humanoid robot
-
Sylvain Calinon, Florent Guenter, and Aude Billard. On learning, representing, and generalizing a task in a humanoid robot. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 37(2):286-298, 2007.
-
(2007)
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
, vol.37
, Issue.2
, pp. 286-298
-
-
Calinon, Sylvain1
Guenter, Florent2
Billard, Aude3
-
12
-
-
0036730964
-
Understanding prior intentions enables two-year-olds to imitatively learn a complex task
-
Malinda Carpenter, Josep Call, and Michael Tomasello. Understanding prior intentions enables two-year-olds to imitatively learn a complex task. Child development, 73(5):1431-1441, 2002.
-
(2002)
Child development
, vol.73
, Issue.5
, pp. 1431-1441
-
-
Carpenter, Malinda1
Call, Josep2
Tomasello, Michael3
-
13
-
-
85019228440
-
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
-
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. Infogan: Interpretable representation learning by information maximizing generative adversarial nets. NIPS, 2016.
-
(2016)
NIPS
-
-
Chen, Xi1
Duan, Yan2
Houthooft, Rein3
Schulman, John4
Sutskever, Ilya5
Abbeel, Pieter6
-
14
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
IEEE
-
Sumit Chopra, Raia Hadsell, and Yann LeCun. Learning a similarity metric discriminatively, with application to face verification. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), volume 1, pp. 539-546. IEEE, 2005.
-
(2005)
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
, vol.1
, pp. 539-546
-
-
Chopra, Sumit1
Hadsell, Raia2
LeCun, Yann3
-
15
-
-
85006176757
-
Direct loss minimization inverse optimal control
-
Rome, Italy, July
-
A. Doerr, N. Ratliff, J. Bohg, M. Toussaint, and S. Schaal. Direct loss minimization inverse optimal control. In Proceedings of Robotics: Science and Systems (R:SS), Rome, Italy, July 2015.
-
(2015)
Proceedings of Robotics: Science and Systems (R:SS)
-
-
Doerr, A.1
Ratliff, N.2
Bohg, J.3
Toussaint, M.4
Schaal, S.5
-
16
-
-
84904482223
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. In ICML, pp. 647-655, 2014.
-
(2014)
ICML
, pp. 647-655
-
-
Donahue, Jeff1
Jia, Yangqing2
Vinyals, Oriol3
Hoffman, Judy4
Zhang, Ning5
Tzeng, Eric6
Darrell, Trevor7
-
18
-
-
84997766107
-
Guided cost learning: Deep inverse optimal control via policy optimization
-
C. Finn, S. Levine, and P. Abbeel. Guided cost learning: Deep inverse optimal control via policy optimization. ICML, 2016.
-
(2016)
ICML
-
-
Finn, C.1
Levine, S.2
Abbeel, P.3
-
20
-
-
84959259907
-
An object-based approach to map human hand synergies onto robotic hands with dissimilar kinematics
-
G Gioioso, G Salvietti, M Malvezzi, and D Prattichizzo. An object-based approach to map human hand synergies onto robotic hands with dissimilar kinematics. Robotics: Science and Systems VIII, pp. 97, 2013.
-
(2013)
Robotics: Science and Systems VIII
, pp. 97
-
-
Gioioso, G1
Salvietti, G2
Malvezzi, M3
Prattichizzo, D4
-
21
-
-
84937849144
-
Generative adversarial nets
-
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in Neural Information Processing Systems, pp. 2672-2680, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 2672-2680
-
-
Goodfellow, Ian1
Pouget-Abadie, Jean2
Mirza, Mehdi3
Xu, Bing4
Warde-Farley, David5
Ozair, Sherjil6
Courville, Aaron7
Bengio, Yoshua8
-
24
-
-
85083950659
-
-
arXiv preprint arXiv:1301.3224
-
Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, and Kate Saenko. Efficient learning of domain-invariant image representations. arXiv preprint arXiv:1301.3224, 2013.
-
(2013)
Efficient learning of domain-invariant image representations
-
-
Hoffman, Judy1
Rodner, Erik2
Donahue, Jeff3
Darrell, Trevor4
Saenko, Kate5
-
27
-
-
85161986160
-
Discriminative clustering by regularized information maximization
-
A. Krause, P. Perona, and R. G. Gomes. Discriminative clustering by regularized information maximization. NIPS, 2010.
-
(2010)
NIPS
-
-
Krause, A.1
Perona, P.2
Gomes, R. G.3
-
28
-
-
80052895155
-
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
-
IEEE
-
Brian Kulis, Kate Saenko, and Trevor Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp. 1785-1792. IEEE, 2011.
-
(2011)
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
, pp. 1785-1792
-
-
Kulis, Brian1
Saenko, Kate2
Darrell, Trevor3
-
30
-
-
84979924150
-
End-to-end training of deep visuomotor policies
-
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel. End-to-end training of deep visuomotor policies. Journal of Machine Learning Research, 17(39):1-40, 2016.
-
(2016)
Journal of Machine Learning Research
, vol.17
, Issue.39
, pp. 1-40
-
-
Levine, Sergey1
Finn, Chelsea2
Darrell, Trevor3
Abbeel, Pieter4
-
31
-
-
84973924037
-
Learning transferable features with deep adaptation networks
-
abs/1502.02791
-
Mingsheng Long and Jianmin Wang. Learning transferable features with deep adaptation networks. CoRR, abs/1502.02791, 1:2, 2015.
-
(2015)
CoRR
, vol.1
, pp. 2
-
-
Long, Mingsheng1
Wang, Jianmin2
-
33
-
-
84924051598
-
Human-level control through deep reinforcement learning
-
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. Human-level control through deep reinforcement learning. Nature, 518(7540):529-533, 2015.
-
(2015)
Nature
, vol.518
, Issue.7540
, pp. 529-533
-
-
Mnih, Volodymyr1
Kavukcuoglu, Koray2
Silver, David3
Rusu, Andrei A4
Veness, Joel5
Bellemare, Marc G6
Graves, Alex7
Riedmiller, Martin8
Fidjeland, Andreas K9
Ostrovski, Georg10
-
34
-
-
84971448181
-
-
arXiv preprint arXiv:1602.01783
-
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy P Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. Asynchronous methods for deep reinforcement learning. arXiv preprint arXiv:1602.01783, 2016.
-
(2016)
Asynchronous methods for deep reinforcement learning
-
-
Mnih, Volodymyr1
Badia, Adria Puigdomenech2
Mirza, Mehdi3
Graves, Alex4
Lillicrap, Timothy P5
Harley, Tim6
Silver, David7
Kavukcuoglu, Koray8
-
35
-
-
84867634184
-
Nine billion correspondence problems
-
Cambridge University Press
-
Chrystopher L Nehaniv. Nine billion correspondence problems. Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, Cambridge University Press, 8:10, 2007.
-
(2007)
Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions
, vol.8
, pp. 10
-
-
Nehaniv, Chrystopher L1
-
42
-
-
84867135104
-
A reduction of imitation learning and structured prediction to no-regret online learning
-
Stéphane Ross, Geoffrey J Gordon, and Drew Bagnell. A reduction of imitation learning and structured prediction to no-regret online learning. In AISTATS, volume 1, pp. 6, 2011.
-
(2011)
AISTATS
, vol.1
, pp. 6
-
-
Ross, Stéphane1
Gordon, Geoffrey J2
Bagnell, Drew3
-
43
-
-
0033151712
-
Is imitation learning the route to humanoid robots?
-
Stefan Schaal. Is imitation learning the route to humanoid robots? Trends in cognitive sciences, 3 (6):233-242, 1999.
-
(1999)
Trends in cognitive sciences
, vol.3
, Issue.6
, pp. 233-242
-
-
Schaal, Stefan1
-
44
-
-
84965149509
-
-
Arxiv preprint 1502.05477, a
-
John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, and Pieter Abbeel. Trust region policy optimization. Arxiv preprint 1502.05477, 2015a.
-
(2015)
Trust region policy optimization
-
-
Schulman, John1
Levine, Sergey2
Moritz, Philipp3
Jordan, Michael I.4
Abbeel, Pieter5
-
45
-
-
84993963574
-
-
arXiv preprint arXiv:1506.02438, b
-
John Schulman, Philipp Moritz, Sergey Levine, Michael Jordan, and Pieter Abbeel. Highdimensional continuous control using generalized advantage estimation. arXiv preprint arXiv:1506.02438, 2015b.
-
(2015)
Highdimensional continuous control using generalized advantage estimation
-
-
Schulman, John1
Moritz, Philipp2
Levine, Sergey3
Jordan, Michael4
Abbeel, Pieter5
-
46
-
-
77950404059
-
Learning shared latent structure for image synthesis and robotic imitation
-
Aaron Shon, Keith Grochow, Aaron Hertzmann, and Rajesh P Rao. Learning shared latent structure for image synthesis and robotic imitation. In Advances in Neural Information Processing Systems, pp. 1233-1240, 2005.
-
(2005)
Advances in Neural Information Processing Systems
, pp. 1233-1240
-
-
Shon, Aaron1
Grochow, Keith2
Hertzmann, Aaron3
Rao, Rajesh P4
-
47
-
-
84969568676
-
-
arXiv preprint arXiv:1412.3474
-
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474, 2014.
-
(2014)
Deep domain confusion: Maximizing for domain invariance
-
-
Tzeng, Eric1
Hoffman, Judy2
Zhang, Ning3
Saenko, Kate4
Darrell, Trevor5
-
48
-
-
84990841560
-
-
arXiv preprint arXiv:1511.07111
-
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Pieter Abbeel, Sergey Levine, Kate Saenko, and Trevor Darrell. Towards adapting deep visuomotor representations from simulated to real environments. arXiv preprint arXiv:1511.07111, 2015.
-
(2015)
Towards adapting deep visuomotor representations from simulated to real environments
-
-
Tzeng, Eric1
Devin, Coline2
Hoffman, Judy3
Finn, Chelsea4
Peng, Xingchao5
Abbeel, Pieter6
Levine, Sergey7
Saenko, Kate8
Darrell, Trevor9
|