-
1
-
-
0036832956
-
Kernel-based reinforcement learning
-
D. Ormoneit and S. Sen. Kernel-based reinforcement learning. Machine Learning, 49 (2-3): 161-178, 2002.
-
(2002)
Machine Learning
, vol.49
, Issue.2-3
, pp. 161-178
-
-
Ormoneit, D.1
Sen, S.2
-
2
-
-
0036804005
-
Kernel-based reinforcement learning in average-cost problems
-
D. Ormoneit and P. Glynn. Kernel-based reinforcement learning in average-cost problems. IEEE Transactions on Automatic Control, 47(10):1624-1636, 2002.
-
(2002)
IEEE Transactions on Automatic Control
, vol.47
, Issue.10
, pp. 1624-1636
-
-
Ormoneit, D.1
Glynn, P.2
-
7
-
-
9244259543
-
Nonnegative ranks, decompositions and factorizations of nonnegative matrices
-
J. E. Cohen and U. G. Rothblum. Nonnegative ranks, decompositions and factorizations of nonnegative matrices. Linear Algebra and its Applications, 190:149-168, 1991.
-
(1991)
Linear Algebra and Its Applications
, vol.190
, pp. 149-168
-
-
Cohen, J.E.1
Rothblum, U.G.2
-
8
-
-
0028532769
-
Archetypal analysis
-
A. Cutler and L. Breiman. Archetypal analysis. Technometrics, 36(4):338-347, 1994.
-
(1994)
Technometrics
, vol.36
, Issue.4
, pp. 338-347
-
-
Cutler, A.1
Breiman, L.2
-
9
-
-
85162313597
-
Computing the stationary distribution of a finite Markov chain through stochastic factorization
-
In press
-
A. M. S. Barreto and M. D. Fragoso. Computing the stationary distribution of a finite Markov chain through stochastic factorization. SIAM Journal on Matrix Analysis and Applications. In press.
-
SIAM Journal on Matrix Analysis and Applications
-
-
Barreto, A.M.S.1
Fragoso, M.D.2
-
11
-
-
73249153369
-
On the complexity of nonnegative matrix factorization
-
S. A. Vavasis. On the complexity of nonnegative matrix factorization. SIAM Journal on Optimization, 20:1364-1377, 2009.
-
(2009)
SIAM Journal on Optimization
, vol.20
, pp. 1364-1377
-
-
Vavasis, S.A.1
-
12
-
-
0017997986
-
Approximations of dynamic programs, i
-
W. Whitt. Approximations of dynamic programs, I. Mathematics of Operations Research, 3 (3):231-243, 1978.
-
(1978)
Mathematics of Operations Research
, vol.3
, Issue.3
, pp. 231-243
-
-
Whitt, W.1
-
15
-
-
85156221438
-
Generalization in reinforcement learning: Successful examples using sparse coarse coding
-
R. S. Sutton. Generalization in reinforcement learning: Successful examples using sparse coarse coding. In Advances in Neural Information Processing Systems, volume 8, pages 1038- 1044, 1996.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 1038-1044
-
-
Sutton, R.S.1
-
20
-
-
79957616613
-
Manifold embeddings for model-based reinforcement learning under partial observability
-
K. Bush and J. Pineau. Manifold embeddings for model-based reinforcement learning under partial observability. In Advances in Neural Information Processing Systems, volume 22, pages 189-197, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 189-197
-
-
Bush, K.1
Pineau, J.2
-
21
-
-
0028958484
-
Periodic pacing an in vitro epileptic focus
-
K. Jerger and S. J. Schiff. Periodic pacing an in vitro epileptic focus. Journal of Neurophysiology, (2):876-879, 1995.
-
(1995)
Journal of Neurophysiology
, Issue.2
, pp. 876-879
-
-
Jerger, K.1
Schiff, S.J.2
|