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Volumn 5769 LNCS, Issue PART 2, 2009, Pages 765-774

Measuring and optimizing behavioral complexity for evolutionary reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL LEARNING; BEHAVIORAL COMPLEXITY; DECISION TASK; MODEL COMPLEXITY; STATIC PROBLEMS; STRUCTURAL COMPLEXITY;

EID: 70450227694     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04277-5_77     Document Type: Conference Paper
Times cited : (9)

References (16)
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    • De Jong, E.D., Watson, R.A., Pollack, J.B.: Reducing bloat and promoting diversity using multi-objective methods. In: Spector, L., Goodman, E.D., Wu, A., Langdon, W.B., Voigt, H.-M., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M.H., Burke, E. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference, pp. 11-18. Morgan Kaufmann, San Francisco (2001)
    • (2001) Proceedings of the Genetic and Evolutionary Computation Conference , pp. 11-18
    • De Jong, E.D.1    Watson, R.A.2    Pollack, J.B.3
  • 6
    • 0003129749 scopus 로고
    • Genetic programming using a minimum description length principle
    • MIT Press, Cambridge
    • Iba, H., Garis, H.D., Sato, T.: Genetic programming using a minimum description length principle. In: Advances in Genetic Programming, pp. 265-284. MIT Press, Cambridge (1994)
    • (1994) Advances in Genetic Programming , pp. 265-284
    • Iba, H.1    Garis, H.D.2    Sato, T.3
  • 7
    • 0003341174 scopus 로고
    • An introduction to Kolmogorov complexity and its applications
    • van Leeuwen, J, ed, Elsevier Science Publishers B.V, Amsterdam
    • Li, M., Vitányi, P.M.B.: An introduction to Kolmogorov complexity and its applications. In: van Leeuwen, J. (ed.) Handbook of Theoretical Computer Science, pp. 188-254. Elsevier Science Publishers B.V., Amsterdam (1990)
    • (1990) Handbook of Theoretical Computer Science , pp. 188-254
    • Li, M.1    Vitányi, P.M.B.2
  • 8
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J.: Modeling by shortest data description. Automatica, 465-471 (1978)
    • (1978) Automatica , vol.465-471
    • Rissanen, J.1
  • 10
    • 0041376985 scopus 로고    scopus 로고
    • Genetic diversity as an objective in multi-objective evolutionary algorithms
    • Toffolo, A., Benini, E.: Genetic diversity as an objective in multi-objective evolutionary algorithms. Evolutionary Computation 11(2), 151-167 (2003)
    • (2003) Evolutionary Computation , vol.11 , Issue.2 , pp. 151-167
    • Toffolo, A.1    Benini, E.2
  • 12
    • 0001516959 scopus 로고
    • Evolving optimal neural networks using genetic algorithms with occam's razor
    • Zhang, B.-T., Muhlenbein, H.: Evolving optimal neural networks using genetic algorithms with occam's razor. Complex Systems 7, 199-220 (1993)
    • (1993) Complex Systems , vol.7 , pp. 199-220
    • Zhang, B.-T.1    Muhlenbein, H.2
  • 13
    • 0002796467 scopus 로고
    • Balancing accuracy and parsimony in genetic programming
    • Zhang, B.-T., Muhlenbein, H.: Balancing accuracy and parsimony in genetic programming. Evolutionary Computation 3, 17-38 (1995)
    • (1995) Evolutionary Computation , vol.3 , pp. 17-38
    • Zhang, B.-T.1    Muhlenbein, H.2
  • 14
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    • MDL-based fitness functions for learning parsimonious programs
    • Siegel, E.V, Koza, J.R, eds, November 10-12, pp, MIT, Cambridge () AAAI
    • Zhang, B.-T., Mühlenbein, H.: MDL-based fitness functions for learning parsimonious programs. In: Siegel, E.V., Koza, J.R. (eds.) Working Notes for the AAAI Symposium on Genetic Programming, November 10-12, pp. 122-126. MIT, Cambridge (1995) AAAI
    • (1995) Working Notes for the AAAI Symposium on Genetic Programming , pp. 122-126
    • Zhang, B.-T.1    Mühlenbein, H.2
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    • Ziv, J., Lempel, A.: Compression of individual sequences via variable-rate coding. IEEE Transactions on Information Theory (September 1978)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.