메뉴 건너뛰기




Volumn 4, Issue , 2003, Pages 2588-2595

Neuroevolution for reinforcement learning using evolution strategies

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; ELECTRIC NETWORK TOPOLOGY; REINFORCEMENT LEARNING;

EID: 84901411269     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299414     Document Type: Conference Paper
Times cited : (149)

References (20)
  • 2
    • 0037592480 scopus 로고    scopus 로고
    • Evolution strategies: A comprehensive introduction
    • Beyer. H.-G. and H.-P. Schwefel (2002). Evolution strategies: A comprehensive introduction. Natural Computing 1(1), 3-52.
    • (2002) Natural Computing , vol.1 , Issue.1 , pp. 3-52
    • Beyer, H.-G.1    Schwefel, H.-P.2
  • 3
    • 0033359368 scopus 로고    scopus 로고
    • Evolution, neural networks, games, and intelligence
    • Chellapilla. K. and D. B. Fogel (1999). Evolution, neural networks, games, and intelligence. Proceedings of the IEEE 87(9), 1471-1496.
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1471-1496
    • Chellapilla, K.1    Fogel, D.B.2
  • 5
    • 0012329219 scopus 로고    scopus 로고
    • 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 Eds., Stanford University, CA, USA, MIT Press
    • Gruau. F., D. Whitley, and L. Pyeatt (1996). 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 (Eds.). Genetic Programming 1996: Proceedings of the Eirst Annual Conference, Stanford University, CA, USA, pp. 81-89. MIT Press.
    • (1996) Genetic Programming 1996: Proceedings of the Eirst Annual Conference , pp. 81-89
    • Gruau, F.1    Whitley, D.2    Pyeatt, L.3
  • 6
    • 0002640882 scopus 로고    scopus 로고
    • Convergence properties of evolution strategies with the derandomized covariance matrix adaptation: The (μ/μ.λ) CMA-ES
    • Aachen, Germany: Verlag Mainz. Wissenschaftsverlag
    • Hansen. N. and A. Ostermeier (1997). Convergence properties of evolution strategies with the derandomized covariance matrix adaptation: The (μ/μ.λ) CMA-ES. In 5th European Congress on Intelligent Techniques and Soft Computing (EU-FIT'97), pp. 650-654. Aachen, Germany: Verlag Mainz. Wissenschaftsverlag.
    • (1997) 5th European Congress on Intelligent Techniques and Soft Computing (EU-FIT'97) , pp. 650-654
    • Hansen, N.1    Ostermeier, A.2
  • 7
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • Hansen, N. and A. Ostermeier (2001). Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation 9 (2). 159-195.
    • (2001) Evolutionary Computation , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 8
    • 0034493892 scopus 로고    scopus 로고
    • Optimization of dynamic neural fields
    • Igel. C. W. Erlhagen. and D. Jancke (2001). Optimization of dynamic neural fields. Neurocomputing 36(1-4), 225-233.
    • (2001) Neurocomputing , vol.36 , Issue.1-4 , pp. 225-233
    • Igel, C.1    Erlhagen, W.2    Jancke, D.3
  • 9
    • 0036131572 scopus 로고    scopus 로고
    • A comparison of evolution strategies and backpropagation for neural network training
    • Mandischer, M, (2002). A comparison of evolution strategies and backpropagation for neural network training. Neurocomputing 42 (1-4). 87-117.
    • (2002) Neurocomputing , vol.42 , Issue.1-4 , pp. 87-117
    • Mandischer, M.1
  • 10
    • 0000827179 scopus 로고
    • BOXES: An experiment in adaptive control
    • E. Dale and D. Michie Eds., Chapter 9, Edinburgh. UK: Oliver & Boyd
    • Michie. D. and R. A. Chambers (1968). BOXES: An experiment in adaptive control. In E. Dale and D. Michie (Eds.), Machine Intelligence 2, Chapter 9, pp. 137-152. Edinburgh. UK: Oliver & Boyd.
    • (1968) Machine Intelligence 2 , pp. 137-152
    • Michie, D.1    Chambers, R.A.2
  • 11
    • 0002318273 scopus 로고    scopus 로고
    • Efficient reinforcement learning through symbiotic evolution
    • Moriarty, D. E. and R. Miikulainen (1996). Efficient reinforcement learning through symbiotic evolution. Machine Learning 22, 11-32.
    • (1996) Machine Learning , vol.22 , pp. 11-32
    • Moriarty, D.E.1    Miikulainen, R.2
  • 13
    • 0029326731 scopus 로고
    • Evolving neural control systems
    • Saravanan. N. and D. B. Fogel (1995). Evolving neural control systems. IEEE Expert 10(3), 23-27.
    • (1995) IEEE Expert , vol.10 , Issue.3 , pp. 23-27
    • Saravanan, N.1    Fogel, D.B.2
  • 15
    • 0036594106 scopus 로고    scopus 로고
    • Evolving neural networks through augmenting topologies
    • Stanley. K. O. and R. Miikkulainen (2002). Evolving neural networks through augmenting topologies. Evolutionary Computation 10(2), 99-127.
    • (2002) Evolutionary Computation , vol.10 , Issue.2 , pp. 99-127
    • Stanley, K.O.1    Miikkulainen, R.2
  • 17
    • 0027701513 scopus 로고
    • Genetic reinforcement learning for neurocontrol problems
    • Whitley, D., S. Dominic, R. Das, and C. W. Anderson (1993). Genetic reinforcement learning for neurocontrol problems. Machine Learning 13 (2-3). 259-284.
    • (1993) Machine Learning , vol.13 , Issue.2-3 , pp. 259-284
    • Whitley, D.1    Dominic, S.2    Das, R.3    Anderson, C.W.4
  • 19
    • 0041345290 scopus 로고    scopus 로고
    • Efficient reinforcement learning using recursive least-squares methods
    • Xu, X., H. He, and D. Hu (2002). Efficient reinforcement learning using recursive least-squares methods. Journal of Artificial Intelligence Research 16, 259-292.
    • (2002) Journal of Artificial Intelligence Research , vol.16 , pp. 259-292
    • Xu, X.1    He, H.2    Hu, D.3
  • 20
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao. X. (1999). Evolving artificial neural networks. Proceedings of the IEEE 87(9), 1423-1447.
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.