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Volumn , Issue , 2007, Pages 342-347

Performance evaluation of EANT in the RoboCup keepaway benchmark

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; EDUCATION; ELECTRIC NETWORK ANALYSIS; EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; REINFORCEMENT; REINFORCEMENT LEARNING; ROBOT LEARNING; STATE SPACE METHODS;

EID: 47349130092     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.80     Document Type: Conference Paper
Times cited : (10)

References (14)
  • 1
    • 0002600702 scopus 로고
    • Adaptive selection methods for genetic algorithms
    • Mahwah, NJ, USA, Lawrence Erlbaum Associates, Inc
    • J. E. Baker. Adaptive selection methods for genetic algorithms. In Proceedings of the 1st International Conference on Genetic Algorithms, pages 101-111, Mahwah, NJ, USA, 1985. Lawrence Erlbaum Associates, Inc.
    • (1985) Proceedings of the 1st International Conference on Genetic Algorithms , pp. 101-111
    • Baker, J.E.1
  • 4
    • 34548091150 scopus 로고    scopus 로고
    • PhD thesis, Technical Report 0602, Institute of Computer Science and Applied Mathematics, Christian-Albrechts University, Kiel, Germany, February
    • Y Kassahun. Towards a Unified Approach to Learning and Adaptation. PhD thesis, Technical Report 0602, Institute of Computer Science and Applied Mathematics, Christian-Albrechts University, Kiel, Germany, February 2006.
    • (2006) Towards a Unified Approach to Learning and Adaptation
    • Kassahun, Y.1
  • 9
    • 27144536042 scopus 로고    scopus 로고
    • PhD thesis, Artificial Intelligence Laboratory. The University of Texas at Austin, Austin, USA, August
    • K. O. Stanley. Efficient Evolution of Neural Networks through Complexification. PhD thesis, Artificial Intelligence Laboratory. The University of Texas at Austin., Austin, USA, August 2004.
    • (2004) Efficient Evolution of Neural Networks through Complexification
    • Stanley, K.O.1
  • 10
    • 37249034293 scopus 로고    scopus 로고
    • Keepaway soccer: From machine learning testbed to benchmark
    • I. Noda, A. Jacoff, A. Bredenfeld, and Y. Takahashi, editors, Springer Verlag, Berlin
    • 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, volume 4020, pages 93-105. Springer Verlag, Berlin, 2006.
    • (2006) RoboCup-2005: Robot Soccer World Cup IX , vol.4020 , pp. 93-105
    • Stone, P.1    Kuhlmann, G.2    Taylor, M.E.3    Liu, Y.4
  • 11
    • 27544506565 scopus 로고    scopus 로고
    • 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
  • 14
    • 0027701513 scopus 로고
    • Genetic reinforcement learning for neurocontrol problems
    • D. Whitley, S. Dominic, R. Das, and C. W. Anderson. Genetic reinforcement learning for neurocontrol problems. Machine Learning, 13:259-284, 1993.
    • (1993) Machine Learning , vol.13 , pp. 259-284
    • Whitley, D.1    Dominic, S.2    Das, R.3    Anderson, C.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.