-
2
-
-
0000710299
-
Queries and concept learning
-
Angluin, D. 1988. Queries and concept learning. Machine Learning 2:319-342.
-
(1988)
Machine Learning
, vol.2
, pp. 319-342
-
-
Angluin, D.1
-
4
-
-
63149159130
-
A survey of robot learning from demonstration
-
Argall, B.; Chernova, S.; Browning, B.; and Veloso, M. 2009. A survey of robot learning from demonstration. Robotics and Autonomous Systems 57(5):469-483.
-
(2009)
Robotics and Autonomous Systems
, vol.57
, Issue.5
, pp. 469-483
-
-
Argall, B.1
Chernova, S.2
Browning, B.3
Veloso, M.4
-
6
-
-
42649095134
-
Measuring teachability using variants of the teaching dimension
-
Balbach, F. 2008. Measuring teachability using variants of the teaching dimension. Theoretical Computer Science 397(1-3):94-113.
-
(2008)
Theoretical Computer Science
, vol.397
, Issue.1-3
, pp. 94-113
-
-
Balbach, F.1
-
7
-
-
71149116544
-
Curriculum learning
-
Bengio, Y.; Louradour, J.; Collobert, R.; and Weston, J. 2009. Curriculum learning. In Proceedings of the 26th annual international conference on machine learning, 41-48.
-
(2009)
Proceedings of the 26th annual international conference on machine learning
, pp. 41-48
-
-
Bengio, Y.1
Louradour, J.2
Collobert, R.3
Weston, J.4
-
11
-
-
0027636611
-
Learning and development in neural networks: The importance of starting small
-
Elman, J. L. 1993. Learning and development in neural networks: The importance of starting small. Cognition 48(1):71-9.
-
(1993)
Cognition
, vol.48
, Issue.1
, pp. 71-79
-
-
Elman, J. L.1
-
16
-
-
67650691734
-
Near-optimal nonmyopic value of information in graphical models
-
Krause, A., and Guestrin, C. 2005a. Near-optimal nonmyopic value of information in graphical models. In Uncertainty in AI.
-
(2005)
Uncertainty in AI
-
-
Krause, A.1
Guestrin, C.2
-
18
-
-
70349966131
-
Active learning for reward estimation in inverse reinforcement learning
-
Lopes, M.; Melo, F. S.; and Montesano, L. 2009. Active learning for reward estimation in inverse reinforcement learning. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II, ECML PKDD'09, 31-46.
-
(2009)
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II, ECML PKDD'09
, pp. 31-46
-
-
Lopes, M.1
Melo, F. S.2
Montesano, L.3
-
20
-
-
0000095809
-
An analysis of approximations for maximizing submodular set functions
-
Nemhauser, G.; Wolsey, L.; and Fisher, M. 1978. An analysis of approximations for maximizing submodular set functions. Mathematical Programming 14(1):265-294.
-
(1978)
Mathematical Programming
, vol.14
, Issue.1
, pp. 265-294
-
-
Nemhauser, G.1
Wolsey, L.2
Fisher, M.3
-
21
-
-
80053212134
-
Apprenticeship learning using inverse reinforcement learning and gradient methods
-
Neu, G., and Szepesvári, C. 2007. Apprenticeship learning using inverse reinforcement learning and gradient methods. In Uncertainty in Artificial Intelligence (UAI), 295-302.
-
(2007)
Uncertainty in Artificial Intelligence (UAI)
, pp. 295-302
-
-
Neu, G.1
Szepesvári, C.2
-
22
-
-
72449199041
-
Training parsers by inverse reinforcement learning
-
Neu, G., and Szepesvári, C. 2009. Training parsers by inverse reinforcement learning. Machine learning 77(2):303-337.
-
(2009)
Machine learning
, vol.77
, Issue.2
, pp. 303-337
-
-
Neu, G.1
Szepesvári, C.2
-
24
-
-
68949137209
-
Active learning literature survey
-
University of Wisconsin-Madison
-
Settles, B. 2010. Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison.
-
(2010)
Computer Sciences Technical Report 1648
-
-
Settles, B.1
-
30
-
-
84876913886
-
Using training regimens to teach expanding function approximators
-
Zang, P.; Irani, A.; Zhou, P.; Isbell, C.; and Thomaz, A. 2010. Using training regimens to teach expanding function approximators. In Proc. of Autonomous Agents and Multi-Agent Systems (AAMAS).
-
(2010)
Proc. of Autonomous Agents and Multi-Agent Systems (AAMAS)
-
-
Zang, P.1
Irani, A.2
Zhou, P.3
Isbell, C.4
Thomaz, A.5
|