-
2
-
-
85150714688
-
Reinforcement learning methods for continuous-time Markov decision problems
-
G. Tesauro, D. Touretzky, and T. Leen, editors, San Mateo, CA, Morgan Kaufmann
-
S. J. Bradtke and M. O. Duff. Reinforcement learning methods for continuous-time Markov decision problems. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems 7, pages 393-400, San Mateo, CA, 1995. Morgan Kaufmann.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 393-400
-
-
Bradtke, S.J.1
Duff, M.O.2
-
4
-
-
21244457900
-
Robust nonlinear control through neuroevolution
-
Department of Computer Sciences, University of Texas at Austin
-
F. Gomez and R. Miikkulainen. Robust nonlinear control through neuroevolution. Technical Report AI02-292, Department of Computer Sciences, University of Texas at Austin, 2002.
-
(2002)
Technical Report
, vol.AI02-292
-
-
Gomez, F.1
Miikkulainen, R.2
-
6
-
-
0012329219
-
A comparison between cellular encoding and direct encoding for genetic neural networks
-
J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, editors, MIT Press
-
F. Gruau, D. Whitley, and L. Pyeatt. A comparison between cellular encoding and direct encoding for genetic neural networks. In J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 81-89. MIT Press, 1996.
-
(1996)
Genetic Programming 1996: Proceedings of the First Annual Conference
, pp. 81-89
-
-
Gruau, F.1
Whitley, D.2
Pyeatt, L.3
-
7
-
-
4344663737
-
Genetic programming and multi-agent layered learning by reinforcements
-
New York,NY, July Morgan Kaufmann
-
W. H. Hsu and S. M. Gustafson. Genetic programming and multi-agent layered learning by reinforcements. In Genetic and Evolutionary Computation Conference, pages 764-771, New York,NY, July 2002. Morgan Kaufmann.
-
(2002)
Genetic and Evolutionary Computation Conference
, pp. 764-771
-
-
Hsu, W.H.1
Gustafson, S.M.2
-
9
-
-
0002318273
-
Efficient reinforcement learning through symbiotic evolution
-
D. E. Moriarty and R. Miikkulainen. Efficient reinforcement learning through symbiotic evolution. Machine Learning, 22:11-32, 1996.
-
(1996)
Machine Learning
, vol.22
, pp. 11-32
-
-
Moriarty, D.E.1
Miikkulainen, R.2
-
10
-
-
0032021222
-
Soccer server: A tool for research on multiagent systems
-
I. Noda, H. Matsubara, K. Hiraki, and I. Frank. Soccer server: A tool for research on multiagent systems. Applied Artificial Intelligence, 12:233-250, 1998.
-
(1998)
Applied Artificial Intelligence
, vol.12
, pp. 233-250
-
-
Noda, I.1
Matsubara, H.2
Hiraki, K.3
Frank, I.4
-
11
-
-
4344613905
-
Coevolution of a backgammon player
-
C. G. Langton and K. Shimohara, editors, Cambridge, MA, The MIT Press
-
J. B. Pollack, A. D. Blair, and M. Land. Coevolution of a backgammon player. In C. G. Langton and K. Shimohara, editors, Artificial Life V: Proc. of the Fifth Int. Workshop on the Synthesis and Simulation of Living Systems, pages 92-98, Cambridge, MA, 1997. The MIT Press.
-
(1997)
Artificial Life V: Proc. of the Fifth Int. Workshop on the Synthesis and Simulation of Living Systems
, pp. 92-98
-
-
Pollack, J.B.1
Blair, A.D.2
Land, M.3
-
12
-
-
0034153728
-
Cooperative coevolution: An architecture for evolving coadapted subcomponents
-
M. A. Potter and K. A. De Jong. Cooperative coevolution: An architecture for evolving coadapted subcomponents. Evolutionary Computation, 8:1-29, 2000.
-
(2000)
Evolutionary Computation
, vol.8
, pp. 1-29
-
-
Potter, M.A.1
De Jong, K.A.2
-
13
-
-
0001355838
-
Radial basis functions for multivariate interpolation: A review
-
J. C. Mason and M. G. Cox, editors, Oxford, Clarendon Press
-
M. J. D. Powell. Radial basis functions for multivariate interpolation: A review. In J. C. Mason and M. G. Cox, editors, Algorithms for Approximation, pages 143-167, Oxford, 1987. Clarendon Press.
-
(1987)
Algorithms for Approximation
, pp. 143-167
-
-
Powell, M.J.D.1
-
15
-
-
1542329420
-
Genetic set recombination and its application to neural network topology optimization
-
N. J. Radcliffe. Genetic set recombination and its application to neural network topology optimization. Neural computing and applications, 1(1):67-90, 1993.
-
(1993)
Neural Computing and Applications
, vol.1
, Issue.1
, pp. 67-90
-
-
Radcliffe, N.J.1
-
16
-
-
0003636089
-
On-line Q-learning using connectionist systems
-
Engineering Department, Cambridge University
-
G. A. Rummery and M. Niranjan. On-line Q-learning using connectionist systems. Technical Report CUED/F-INFENG-RT 116, Engineering Department, Cambridge University, 1994.
-
(1994)
Technical Report CUED/F-INFENG-RT 116
-
-
Rummery, G.A.1
Niranjan, M.2
-
17
-
-
0029753630
-
Reinforcement learning with replaceing eligibility traces
-
S. P. Singh and R. S. Sutton. Reinforcement learning with replaceing eligibility traces. Machine Learning, 22:123-158, 1996.
-
(1996)
Machine Learning
, vol.22
, pp. 123-158
-
-
Singh, S.P.1
Sutton, R.S.2
-
19
-
-
0036594106
-
Evolving neural networks through augmenting topologies
-
K. O. Stanley and R. Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10(2):99-127, 2002.
-
(2002)
Evolutionary Computation
, vol.10
, Issue.2
, pp. 99-127
-
-
Stanley, K.O.1
Miikkulainen, R.2
-
22
-
-
33746857797
-
Keepaway soccer: From machine learning testbed to benchmark
-
I. Noda, A. Jacoff, A. Bredenfeld, and Y. Takahashi, editors, Springer Verlag, Berlin, To appear
-
P. Stone, G. Kuhlmann, M. E. Taylor, and Y. Liu. Keepaway soccer: From machine learning testbed to benchmark. In I. Noda, A. Jacoff, A. Bredenfeld, and Y. Takahashi, editors, RoboCup-2005: Robot Soccer World Cup IX. Springer Verlag, Berlin, 2006. To appear.
-
(2006)
RoboCup-2005: Robot Soccer World Cup IX
-
-
Stone, P.1
Kuhlmann, G.2
Taylor, M.E.3
Liu, Y.4
-
23
-
-
27544506565
-
Reinforcement learning for RoboCup-soccer keepaway
-
P. Stone, R. S. Sutton, and G. Kuhlmann. Reinforcement learning for RoboCup-soccer keepaway. Adaptive Behavior, 13(3): 165-188, 2005.
-
(2005)
Adaptive Behavior
, vol.13
, Issue.3
, pp. 165-188
-
-
Stone, P.1
Sutton, R.S.2
Kuhlmann, G.3
-
24
-
-
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 8, pages 1038-1044, 1996.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 1038-1044
-
-
Sutton, R.S.1
-
26
-
-
21244469857
-
Evolving keepaway soccer players through task decomposition
-
S. Whiteson, N. Kohl, R. Miikkulainen, and P. Stone. Evolving keepaway soccer players through task decomposition. Machine Learning, 59(1):5-30, 2005.
-
(2005)
Machine Learning
, vol.59
, Issue.1
, pp. 5-30
-
-
Whiteson, S.1
Kohl, N.2
Miikkulainen, R.3
Stone, P.4
-
27
-
-
33646714634
-
Evolutionary function approximation for reinforcement learning
-
To appear
-
S. Whiteson and P. Stone. Evolutionary function approximation for reinforcement learning. Journal of Machine Learning Research, 2006. To appear.
-
(2006)
Journal of Machine Learning Research
-
-
Whiteson, S.1
Stone, P.2
-
28
-
-
0033362601
-
Evolving artificial neural networks
-
X. Yao. Evolving artificial neural networks. Proceedings of the IEEE, 87(9):1423-1447, 1999.
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
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