-
2
-
-
84862994574
-
Learning to control a low-cost manipulator using data-efficient reinforcement learning
-
Marc Peter Deisenroth, Carl Edward Rasmussen, and Dieter Fox. Learning to control a low-cost manipulator using data-efficient reinforcement learning. In RSS, 2011.
-
(2011)
RSS
-
-
Deisenroth, M.P.1
Rasmussen, C.E.2
Fox, D.3
-
3
-
-
85024429815
-
A new approach to linear filtering and prediction problems
-
R. E. Kalman. A new approach to linear filtering and prediction problems. Transactions of the ASMEJournal of basic Engineering, 82(Series D):35-45, 1960.
-
(1960)
Transactions of the ASMEJournal of Basic Engineering
, vol.82
, Issue.SERIES D
, pp. 35-45
-
-
Kalman, R.E.1
-
4
-
-
69549111759
-
Gpbayesfilters: Bayesian filtering using gaussian process prediction and observation models
-
Jonathan Ko and Dieter Fox. Gpbayesfilters: Bayesian filtering using gaussian process prediction and observation models. In IROS, 2008.
-
(2008)
IROS
-
-
Ko, J.1
Fox, D.2
-
5
-
-
76249128466
-
Adaptive non-stationary kernel regression for terrain modeling
-
Tobias Lang, Christian Plagemann, and Wolfram Burgard. Adaptive non-stationary kernel regression for terrain modeling. In RSS, 2007.
-
(2007)
RSS
-
-
Lang, T.1
Plagemann, C.2
Burgard, W.3
-
6
-
-
80053452289
-
Variational heteroscedastic gaussian process regression
-
Miguel Lázaro-Gredilla and Michalis K. Titsias. Variational heteroscedastic gaussian process regression. In ICML, 2011.
-
(2011)
ICML
-
-
Lázaro-Gredilla, M.1
Titsias, M.K.2
-
7
-
-
77954665893
-
Sparse spectrum gaussian process regression
-
Miguel Lázaro-Gredilla, Joaquin Quinonero-Candela, Carl Edward Rasmussen, and Aníbal R. Figueiras-Vidal. Sparse spectrum gaussian process regression. Journal of Machine Learning Research, 11:1865-1881, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 1865-1881
-
-
Lázaro-Gredilla, M.1
Quinonero-Candela, J.2
Rasmussen, C.E.3
Figueiras-Vidal, A.R.4
-
8
-
-
84899028582
-
Nonstationary covariance functions for gaussian process regression
-
Christopher J. Paciorek and Mark J. Schervish. Nonstationary covariance functions for gaussian process regression. In NIPS, 2004.
-
(2004)
NIPS
-
-
Paciorek, C.J.1
Schervish, M.J.2
-
9
-
-
84880859377
-
Efficient failure detection on mobile robots using particle filters with gaussian process proposals
-
Christian Plagemann, Dieter Fox, and Wolfram Burgard. Efficient failure detection on mobile robots using particle filters with gaussian process proposals. In IJCAI, pages 2185-2190, 2007.
-
(2007)
IJCAI
, pp. 2185-2190
-
-
Plagemann, C.1
Fox, D.2
Burgard, W.3
-
10
-
-
70350375948
-
Nonstationary gaussian process regression using point estimates of local smoothness
-
Christian Plagemann, Kristian Kersting, and Wolfram Burgard. Nonstationary gaussian process regression using point estimates of local smoothness. In ECML, 2008.
-
(2008)
ECML
-
-
Plagemann, C.1
Kersting, K.2
Burgard, W.3
-
12
-
-
84896062664
-
Infinite mixture of gaussian process experts
-
Carl Edward Rasmussen and Zoubin Ghahramani. Infinite mixture of gaussian process experts. In NIPS, 2002.
-
(2002)
NIPS
-
-
Rasmussen, C.E.1
Ghahramani, Z.2
-
14
-
-
79952429674
-
An introduction to gaussian processes for the kalman filter expert
-
Steven Reece and Stephen Roberts. An introduction to gaussian processes for the kalman filter expert. In FUSION, pages 1-9, 2010.
-
(2010)
FUSION
, pp. 1-9
-
-
Reece, S.1
Roberts, S.2
-
15
-
-
84864038646
-
Sparse gaussian processes using pseudo-inputs
-
Edward Snelson and Zoubin Ghahramani. Sparse gaussian processes using pseudo-inputs. In NIPS, pages 1257-1264, 2006.
-
(2006)
NIPS
, pp. 1257-1264
-
-
Snelson, E.1
Ghahramani, Z.2
-
16
-
-
51949116853
-
Sparse probabilistic regression for activityindependent human pose inference
-
Raquel Urtasun and Trevor Darrell. Sparse probabilistic regression for activityindependent human pose inference. In CVPR, pages 1-8, 2008.
-
(2008)
CVPR
, pp. 1-8
-
-
Urtasun, R.1
Darrell, T.2
-
17
-
-
84864479771
-
An adaptive nonparametric particle filter for state estimation
-
Yali Wang and Brahim Chaibdraa. An adaptive nonparametric particle filter for state estimation. In ICRA, pages 4355-4360, 2012.
-
(2012)
ICRA
, pp. 4355-4360
-
-
Wang, Y.1
Chaibdraa, B.2
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