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Volumn 2, Issue , 2007, Pages 318-324

Multi-agent reinforcement learning using strategies and voting

Author keywords

[No Author keywords available]

Indexed keywords

AGENTS; ARTIFICIAL INTELLIGENCE; CYBERNETICS; EDUCATION; LEARNING ALGORITHMS; REINFORCEMENT; REINFORCEMENT LEARNING;

EID: 48649100219     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2007.15     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 2
    • 0031361611 scopus 로고    scopus 로고
    • Machine-learning research: Four current directions
    • T. G. Dietterich. Machine-learning research: Four current directions. The AI Magazine, 18(4):97-136, 1998.
    • (1998) The AI Magazine , vol.18 , Issue.4 , pp. 97-136
    • Dietterich, T.G.1
  • 5
    • 14344254642 scopus 로고    scopus 로고
    • The pursuit domain package
    • University of Amsterdam, The Netherlands
    • J. R. Kok and N. Vlassis. The pursuit domain package. Tecnical report ias-uva-03-03, University of Amsterdam, The Netherlands, 2003.
    • (2003) Tecnical report ias-uva-03-03
    • Kok, J.R.1    Vlassis, N.2
  • 7
    • 33748543203 scopus 로고    scopus 로고
    • Collaborative multiagent reinforcement learning by payoff propagation
    • J. R. Kok and N. Vlassis. Collaborative multiagent reinforcement learning by payoff propagation. Journal of Machine Learning Research, 7:1789-1828, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1789-1828
    • Kok, J.R.1    Vlassis, N.2
  • 11
    • 48649108608 scopus 로고    scopus 로고
    • th International Conference on Machine Learning, 1993.
    • th International Conference on Machine Learning, 1993.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.