-
1
-
-
65549111685
-
Measurement of the top quark mass with dilepton events selected using neuroevolution at CDF
-
Timo Aaltonen et al. Measurement of the top quark mass with dilepton events selected using neuroevolution at CDF. Physical Review Letters, 2009.
-
(2009)
Physical Review Letters
-
-
Aaltonen, T.1
-
5
-
-
70449984086
-
On-line neuroevolution applied to the open racing car simulator
-
Piscataway, NJ, USA, IEEE Press
-
Luigi Cardamone, Daniele Loiacono, and Pier Luca Lanzi. On-line neuroevolution applied to the open racing car simulator. In Proceedings of the 2009 IEEE Congress on Evolutionary Computation (IEEE CEC 2009), Piscataway, NJ, USA, 2009. IEEE Press.
-
(2009)
Proceedings of the 2009 IEEE Congress on Evolutionary Computation (IEEE CEC 2009)
-
-
Cardamone, L.1
Loiacono, D.2
Lanzi, P.L.3
-
6
-
-
0031189914
-
Multitask learning
-
Rich Caruana. Multitask learning. In Machine Learning, pages 41-75, 1997.
-
(1997)
Machine Learning
, pp. 41-75
-
-
Caruana, R.1
-
7
-
-
56549089904
-
-
The Robocup Federation, 4.00 edition, February
-
Mao Cheny, Klaus Dorer, Ehsan Foroughi, Fredrik Heintz, ZhanXiang Huangy, Spiros Kapetanakis, Kostas Kostiadis, Johan Kummeneje, Jan Murray, Itsuki Noda, Oliver Obst, Pat Riley, Timo Steffens, Yi Wangy, and Xiang Yin. Robocup Soccer Server: User's Manual. The Robocup Federation, 4.00 edition, February 2003.
-
(2003)
Robocup Soccer Server: User's Manual
-
-
Cheny, M.1
Dorer, K.2
Foroughi, E.3
Heintz, F.4
Huangy, Z.5
Kapetanakis, S.6
Kostiadis, K.7
Kummeneje, J.8
Murray, J.9
Noda, I.10
Obst, O.11
Riley, P.12
Steffens, T.13
Wangy, Y.14
Yin, X.15
-
9
-
-
70450059665
-
Evolving coordinated quadruped gaits with the hyperneat generative encoding
-
Piscataway, NJ, USA, IEEE Press
-
Jeff Clune, Benjamin E. Beckmann, Charles Ofria, and Robert T. Pennock. Evolving coordinated quadruped gaits with the hyperneat generative encoding. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC-2009) Special Section on Evolutionary Robotics, Piscataway, NJ, USA, 2009. IEEE Press.
-
(2009)
Proceedings of the IEEE Congress on Evolutionary Computation (CEC-2009) Special Section on Evolutionary Robotics
-
-
Clune, J.1
Beckmann, B.E.2
Ofria, C.3
Pennock, R.T.4
-
10
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
New York, NY, ACM Press
-
Ronan Collobert and Jason Weston. A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proceedings of the 25th International Conference on Machine Learning, New York, NY, 2008. ACM Press.
-
(2008)
Proceedings of the 25th International Conference on Machine Learning
-
-
Collobert, R.1
Weston, J.2
-
11
-
-
77953532497
-
Stanley. Evolving policy geometry for scalable multiagent learning
-
New York, NY, USA, ACM Press
-
David D'Ambroiso and Kenneth O. Stanley. Evolving policy geometry for scalable multiagent learning. In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2010), page 8, New York, NY, USA, 2010. ACM Press.
-
(2010)
Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2010)
, pp. 8
-
-
D'Ambroiso, D.1
Kenneth, O.2
-
13
-
-
56449093331
-
An object-oriented representation for efficient reinforcement learning
-
New York, NY, USA, ACM. ISBN 978-1-60558-205-4. doi:http://doi.acm.org/ 10.1145/1390156.1390187
-
Carlos Diuk, Andre Cohen, and Michael L. Littman. An object-oriented representation for efficient reinforcement learning. In ICML '08: Proceedings of the 25th International Conference on Machine learning, pages 240-247, New York, NY, USA, 2008. ACM. ISBN 978-1-60558-205-4. doi:http://doi.acm.org/10.1145/ 1390156.1390187.
-
(2008)
ICML '08: Proceedings of the 25th International Conference on Machine Learning
, pp. 240-247
-
-
Diuk, C.1
Cohen, A.2
Littman, M.L.3
-
14
-
-
0035312760
-
Relational reinforcement learning
-
April-May
-
Sao Deroski, Luc De Raedt, and Kurt Driessens. Relational reinforcement learning. Machine Learning, 43(1-2):7-52, April-May 2001.
-
(2001)
Machine Learning
, vol.43
, Issue.1-2
, pp. 7-52
-
-
Deroski, S.1
De Raedt, L.2
Driessens, K.3
-
15
-
-
34548086552
-
Generating large-scale neural networks through discovering geometric regularities
-
New York, NY, GECCO-2007, ACM
-
Jason Gauci and Kenneth O. Stanley. Generating large-scale neural networks through discovering geometric regularities. In Proceedings of the Genetic and Evolutionary Computation Conference, page 8, New York, NY, 2007. GECCO-2007, ACM.
-
(2007)
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 8
-
-
Gauci, J.1
Stanley, K.O.2
-
17
-
-
77955992290
-
Stanley. Autonomous evolution of topographic regularities in artificial neural networks
-
Jason Gauci and Kenneth O. Stanley. Autonomous evolution of topographic regularities in artificial neural networks. Neural Computation, page 38, 2010.
-
(2010)
Neural Computation
, pp. 38
-
-
Gauci, J.1
Kenneth, O.2
-
19
-
-
0012329219
-
A comparison between cellular encoding and direct encoding for genetic neural networks
-
In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors Cambridge, MA, MIT Press
-
Frederic Gruau, Darrell Whitley, and Larry Pyeatt. A comparison between cellular encoding and direct encoding for genetic neural networks. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 81-89, Cambridge, MA, 1996. MIT Press.
-
(1996)
Genetic Programming 1996: Proceedings of the First Annual Conference
, pp. 81-89
-
-
Gruau, F.1
Whitley, D.2
Pyeatt, L.3
-
20
-
-
0011714199
-
-
PhD thesis, School of Cognitive and Computing Sciences, University of Sussex, Sussex
-
Inman Harvey. The Artificial Evolution of Adaptive Behavior. PhD thesis, School of Cognitive and Computing Sciences, University of Sussex, Sussex, 1993.
-
(1993)
The Artificial Evolution of Adaptive Behavior
-
-
Harvey, I.1
-
21
-
-
0036985854
-
Pollack. Creating high-level components with a generative representation for body-brain evolution
-
Gregory S. Hornby and Jordan B. Pollack. Creating high-level components with a generative representation for body-brain evolution. Artificial Life, 8(3), 2002.
-
(2002)
Artificial Life
, vol.8
, pp. 3
-
-
Hornby, G.S.1
Jordan, B.2
-
22
-
-
38149038551
-
RoboCup 2006: Robot soccer world cup X
-
chapter Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study. Springer Berlin / Heidelberg
-
Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone. RoboCup 2006: Robot Soccer World Cup X, volume 4434 of Lecture Notes in Computer Science, chapter Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study. Springer Berlin / Heidelberg, 2007.
-
(2007)
Lecture Notes in Computer Science
, vol.4434
-
-
Kalyanakrishnan, S.1
Liu, Y.2
Stone, P.3
-
23
-
-
0031083720
-
Robocup: A challenge problem for AI
-
Spring
-
Hiroaki Kitano, Minora Asada, Yasuo Kuniyoshi, Itsuki Noda, Eiichi Osawa, and Hitoshi Matsubara. Robocup: A challenge problem for AI. AI Magazine, 18(1):73-87, Spring 1997.
-
(1997)
AI Magazine
, vol.18
, Issue.1
, pp. 73-87
-
-
Kitano, H.1
Asada, M.2
Kuniyoshi, Y.3
Noda, I.4
Osawa, E.5
Matsubara, H.6
-
24
-
-
12244304892
-
Non-communicative multi-robot coordination in dynamic environments
-
February
-
Jelle R. Kok, Matthijs T. J. Spaan, and Nikos Vlassis. Non-communicative multi-robot coordination in dynamic environments. Robotics and Autonomous Systems, 50(2-3):99-114, February 2005.
-
(2005)
Robotics and Autonomous Systems
, vol.50
, Issue.2-3
, pp. 99-114
-
-
Kok, J.R.1
Spaan, M.T.J.2
Vlassis, N.3
-
25
-
-
0033714616
-
The spatial semantic heirarchy
-
Benjamin Kuipers. The spatial semantic heirarchy. Artifical Intelligence, 119:191-233, 2000.
-
(2000)
Artifical Intelligence
, vol.119
, pp. 191-233
-
-
Kuipers, B.1
-
27
-
-
0014265483
-
Mathematical models for cellular interaction in development parts I and II
-
and 300-315
-
Aristid Lindenmayer. Mathematical models for cellular interaction in development parts I and II. Journal of Theoretical Biology, 18:280-299 and 300-315, 1968.
-
(1968)
Journal of Theoretical Biology
, vol.18
, pp. 280-299
-
-
Lindenmayer, A.1
-
28
-
-
64749093402
-
Agents, bodies, constraints, dynamics, and evolution
-
Spring
-
Alan Mackworth. Agents, bodies, constraints, dynamics, and evolution. AI Magazine, 30(1):7-28, Spring 2009.
-
(2009)
AI Magazine
, vol.30
, Issue.1
, pp. 7-28
-
-
Mackworth, A.1
-
29
-
-
0032885792
-
Increasing genomic complexity by gene duplication and the origin of vertebrates
-
Andrew P. Martin. Increasing genomic complexity by gene duplication and the origin of vertebrates. The American Naturalist, 154(2): 111-128, 1999.
-
(1999)
The American Naturalist
, vol.154
, Issue.2
, pp. 111-128
-
-
Martin, A.P.1
-
30
-
-
47349130092
-
Performance evaluation of EANT in the robocup keepaway benchmark
-
Washington, DC, USA, IEEE Computer Society. ISBN 0-7695-3069-9. doi: http://dx.doi.org/10.1109/ICMLA.2007.80. URL
-
Jan FH. Metzen, Mark Edgington, Yohannes Kassahun, and Frank Kirchner. Performance evaluation of EANT in the robocup keepaway benchmark. In ICMLA '07: Proceedings of the Sixth International Conference on Machine Learning and Applications, pages 342-347, Washington, DC, USA, 2007. IEEE Computer Society. ISBN 0-7695-3069-9. doi: http://dx.doi.org/10.1109/ICMLA.2007.80. URL http://dx.doi.org/10.1109/ICMLA.2007.80.
-
(2007)
ICMLA '07: Proceedings of the Sixth International Conference on Machine Learning and Applications
, pp. 342-347
-
-
Metzen, J.F.H.1
Edgington, M.2
Kassahun, Y.3
Kirchner, F.4
-
32
-
-
70350633261
-
-
Technical Report HKUST-CS08-08 Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, November
-
Sinno Pan and Qiang Yang. A survey on transfer learning. Technical Report HKUST-CS08-08, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, November 2008.
-
(2008)
A Survey on Transfer Learning
-
-
Pan, S.1
Yang, Q.2
-
34
-
-
38049100972
-
Transfer learning in reinforcement learning problems through partial policy recycling
-
Berlin, Germany, Springer-Verlag
-
Jan Ramon, Kurt Driessens, and Tom Croonenborghs. Transfer learning in reinforcement learning problems through partial policy recycling. In Proceedings of the 18th European Conference on Machine Learning, pages 699-707, Berlin, Germany, 2007. Springer-Verlag.
-
(2007)
Proceedings of the 18th European Conference on Machine Learning
, pp. 699-707
-
-
Ramon, J.1
Driessens, K.2
Croonenborghs, T.3
-
35
-
-
0003636089
-
On-line Q-learning using connectionist systems
-
Cambridge University Engineering Department
-
Gavin A. Rummery and Mahesan Niranjan. On-line Q-learning using connectionist systems. CUED/F-INFENG/TR 166, Cambridge University Engineering Department, 1994.
-
(1994)
CUED/F-INFENG/TR
, vol.166
-
-
Rummery, G.A.1
Niranjan, M.2
-
36
-
-
0029326731
-
Evolving neural control systems
-
June
-
Natarajan Saravanan and David B. Fogel. Evolving neural control systems. IEEE Expert, pages 23-27, June 1995.
-
(1995)
IEEE Expert
, pp. 23-27
-
-
Saravanan, N.1
Fogel, D.B.2
-
39
-
-
0036594106
-
Evolving neural networks through augmenting topologies
-
Kenneth O. Stanley and Risto Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10:99-127, 2002.
-
(2002)
Evolutionary Computation
, vol.10
, pp. 99-127
-
-
Stanley, K.O.1
Miikkulainen, R.2
-
41
-
-
29244482280
-
Real-time neuroevolution in the NERO video game
-
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen. Real-time neuroevolution in the NERO video game. IEEE Transactions on Evolutionary Computation Special Issue on Evolutionary Computation and Games, 9(6):653-668, 2005.
-
(2005)
IEEE Transactions on Evolutionary Computation Special Issue on Evolutionary Computation and Games
, vol.9
, Issue.6
, pp. 653-668
-
-
Stanley, K.O.1
Bryant, B.D.2
Miikkulainen, R.3
-
42
-
-
67650188046
-
A hypercube-based indirect encoding for evolving large-scale neural networks
-
Kenneth O. Stanley, David B. D'Ambrosio, and Jason Gauci. A hypercube-based indirect encoding for evolving large-scale neural networks. Artificial Life, 15(2), 2009.
-
(2009)
Artificial Life
, vol.15
, pp. 2
-
-
Stanley, K.O.1
D'Ambrosio, D.B.2
Gauci, J.3
-
43
-
-
77953510013
-
Multiagent matching algorithms with and without coach
-
Special issue on Decision Support Systems. Guest editors: Fatima C. C Dargam and Pascale Zarate
-
Frieder Stolzenburg, Jan Murray, and Karsten Sturm. Multiagent matching algorithms with and without coach. Journal of Decision Systems, 15(2-3):215-240, 2006. Special issue on Decision Support Systems. Guest editors: Fatima C. C. Dargam and Pascale Zarate.
-
(2006)
Journal of Decision Systems
, vol.15
, Issue.2-3
, pp. 215-240
-
-
Stolzenburg, F.1
Murray, J.2
Sturm, K.3
-
44
-
-
0013528313
-
Sutton. Scaling reinforcement learning to robocup soccer
-
New York, NY, June ICML 2001, ACM
-
Peter Stone and Richard S. Sutton. Scaling reinforcement learning to robocup soccer. In The Eighteenth International Conference on Machine Learning, pages 537-544, New York, NY, June 2001. ICML 2001, ACM.
-
(2001)
The Eighteenth International Conference on Machine Learning
, pp. 537-544
-
-
Stone, P.1
Richard, S.2
-
45
-
-
84867452958
-
Reinforcement learning in 3 vs. 2 keepaway
-
In Peter Stone, T. Balch, and G. Kraetszchmar, editors Springer Verlag, Berlin
-
Peter Stone, Richard S. Sutton, and Satinder Singh. Reinforcement learning in 3 vs. 2 keepaway. In Peter Stone, T. Balch, and G. Kraetszchmar, editors, Robocup-2000: Robot soccer world cup IV, pages 249-258. Springer Verlag, Berlin, 2001.
-
(2001)
Robocup-2000: Robot Soccer World Cup IV
, pp. 249-258
-
-
Stone, P.1
Sutton, R.S.2
Singh, S.3
-
46
-
-
27544506565
-
Reinforcement learning for RoboCupsoccer keepaway
-
Peter Stone, Richard S. Sutton, and Gregory Kuhlmann. Reinforcement learning for RoboCupsoccer 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
-
47
-
-
37249034293
-
Keepaway soccer: From machine learning testbed to benchmark
-
Springer Verlag
-
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu. Keepaway soccer: From machine learning testbed to benchmark. In RoboCup-2005: Robot Soccer World Cup IX, pages 93-105. Springer Verlag, 2006.
-
(2006)
RoboCup-2005: Robot Soccer World Cup IX
, pp. 93-105
-
-
Stone, P.1
Kuhlmann, G.2
Taylor, M.E.3
Liu, Y.4
-
49
-
-
33847202724
-
Learning to predict by the methods of temporal differences
-
Richard S. Sutton. Learning to predict by the methods of temporal differences. In Machine Learning, pages 9-44, 1988.
-
(1988)
Machine Learning
, pp. 9-44
-
-
Sutton, R.S.1
-
50
-
-
85156221438
-
Generalization in reinforcement learning: Successful examples using sparse coarse coding
-
MIT Press
-
Richard S. Sutton. Generalization in reinforcement learning: Successful examples using sparse coarse coding. In Advances in Neural Information Processing Systems 8, pages 1038-1044. MIT Press, 1996.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 1038-1044
-
-
Sutton, R.S.1
-
51
-
-
55149107173
-
Learning to solve problems from exercises
-
Prasad Tadepalli. Learning to solve problems from exercises. Computational Intelligence, 4(24): 257-291, 2008.
-
(2008)
Computational Intelligence
, vol.4
, Issue.24
, pp. 257-291
-
-
Tadepalli, P.1
-
52
-
-
26944455336
-
Relational reinforcement learning: An overview
-
New York, NY, ACM Press
-
Prasad Tadepalli, Robert Givan, and Kurt Driessens. Relational reinforcement learning: An overview. In International Conference on Machine Learning Workshop on Relational Reinforcement Learning, New York, NY, 2004. ACM Press.
-
(2004)
International Conference on Machine Learning Workshop on Relational Reinforcement Learning
-
-
Tadepalli, P.1
Givan, R.2
Driessens, K.3
-
54
-
-
34547997175
-
Cross-domain transfer for reinforcement learning
-
New York, NY, USA, ACM
-
Matthew E. Taylor and Peter Stone. Cross-domain transfer for reinforcement learning. In Proceedings of the 24th International Conference on Machine learning, pages 879-886, New York, NY, USA, 2007. ACM.
-
(2007)
Proceedings of the 24th International Conference on Machine Learning
, pp. 879-886
-
-
Taylor, M.E.1
Stone, P.2
-
55
-
-
33750259111
-
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
-
New York, NY, July ACM Press
-
Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Comparing evolutionary and temporal difference methods in a reinforcement learning domain. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2006), pages 1321-1328, New York, NY, July 2006. ACM Press.
-
(2006)
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2006)
, pp. 1321-1328
-
-
Taylor, M.E.1
Whiteson, S.2
Stone, P.3
-
56
-
-
34848816477
-
Transfer learning vis inter-task mappings for temporal difference learning
-
September
-
Matthew E. Taylor, Peter Stone, and Yaxin Liu. Transfer learning vis inter-task mappings for temporal difference learning. Journal of Machine Learning Research, 1(8):2125-2167, September 2007a.
-
(2007)
Journal of Machine Learning Research
, vol.1
, Issue.8
, pp. 2125-2167
-
-
Taylor, M.E.1
Stone, P.2
Liu, Y.3
-
57
-
-
34848896604
-
Transfer via intertask mappings in policy search reinforcement learningn
-
New York, NY, May AAMAS-2007, ACM Press
-
Matthew E. Taylor, Shimone Whiteson, and Peter Stone. Transfer via intertask mappings in policy search reinforcement learningn. In The Autonomous Agents and Multi-Agent Systems Conference, New York, NY, May 2007b. AAMAS-2007, ACM Press.
-
(2007)
The Autonomous Agents and Multi-Agent Systems Conference
-
-
Taylor, M.E.1
Whiteson, S.2
Stone, P.3
-
58
-
-
0001046225
-
Practical issues in temproal difference learning
-
May
-
Gerald Tesauro. Practical issues in temproal difference learning. Machine Learning, 8(3-4):257-277, May 1992.
-
(1992)
Machine Learning
, vol.8
, Issue.3-4
, pp. 257-277
-
-
Tesauro, G.1
-
60
-
-
38049027438
-
Rule extraction for transfer learning
-
Springer-Verlag, Berlin, Germany
-
Lisa Torrey, Jude W. Shavlik, Trevor Walker, and Richard Maclin. Rule extraction for transfer learning. In Rule Extraction from Support Vector Machines, pages 67-82. Springer-Verlag, Berlin, Germany, 2008a.
-
(2008)
Rule Extraction from Support Vector Machines
, pp. 67-82
-
-
Torrey, L.1
Shavlik, J.W.2
Walker, T.3
Maclin, R.4
-
61
-
-
77952176586
-
Advice taking and transfer learning: Naturally inspired extensions to reinforcement learning
-
Washington, DC, AAAI Press
-
Lisa Torrey, TrevorWalker, Richard Maclin, and Jude Shavlik. Advice taking and transfer learning: Naturally inspired extensions to reinforcement learning. In AAAI Fall Symposium on Naturally Inspired AI, Washington, DC, 2008b. AAAI Press.
-
(2008)
AAAI Fall Symposium on Naturally Inspired AI
-
-
Torrey, L.1
Walker, T.2
Maclin, R.3
Shavlik, J.4
-
63
-
-
0004246255
-
-
The Benjamin Cummings Publishing Company, Inc., Menlo Park, CA
-
James D. Watson, Nancy H. Hopkins, Jeffrey W. Roberts, Joan A. Steitz, and Alan M. Weiner. Molecular Biology of the Gene Fourth Edition. The Benjamin Cummings Publishing Company, Inc., Menlo Park, CA, 1987.
-
(1987)
Molecular Biology of the Gene Fourth Edition
-
-
Watson, J.D.1
Hopkins, N.H.2
Roberts, J.W.3
Steitz, J.A.4
Weiner, A.M.5
-
64
-
-
77953531123
-
Improving reinforcement learning function approximators via neuroevolution
-
New York, NY, USA, ACM. ISBN 1-59593-093-0. doi: http://doi.acm.org/10. 1145/1082473.1082794
-
Shimon Whiteson. Improving reinforcement learning function approximators via neuroevolution. In AAMAS '05: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1386-1386, New York, NY, USA, 2005. ACM. ISBN 1-59593-093-0. doi: http://doi.acm.org/10.1145/ 1082473.1082794.
-
(2005)
AAMAS '05: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems
, pp. 1386-1386
-
-
Whiteson, S.1
-
66
-
-
21244469857
-
Evolving soccer keepaway players through task decomposition
-
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone. Evolving soccer keepaway players through task decomposition. Mach. Learn., 59(1-2):5-30, 2005.
-
(2005)
Mach. Learn.
, vol.59
, Issue.1-2
, pp. 5-30
-
-
Whiteson, S.1
Kohl, N.2
Miikkulainen, R.3
Stone, P.4
-
67
-
-
0033362601
-
Evolving artificial neural networks
-
Xin 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
|