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Volumn , Issue , 2001, Pages 1021-1026

Rational and convergent learning in stochastic games

Author keywords

[No Author keywords available]

Indexed keywords

HILL CLIMBING; LEARNING AGENTS; MULTI-AGENT ENVIRONMENT; POLICY LEARNING; STOCHASTIC GAME;

EID: 84880865940     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (310)

References (16)
  • 9
    • 0002021736 scopus 로고
    • Equilibrium points in n-person games
    • J. F. Nash, Jr. Equilibrium points in n-person games. PNAS, 36:48-49, 1950.
    • (1950) PNAS , vol.36 , pp. 48-49
    • Nash Jr., J.F.1
  • 10
    • 0000392613 scopus 로고
    • Stochastic games
    • L. S. Shapley. Stochastic games. PNAS, 39:1095-1100, 1953.
    • (1953) PNAS , vol.39 , pp. 1095-1100
    • Shapley, L.S.1
  • 11
    • 0033901602 scopus 로고    scopus 로고
    • Convergence results for single-step on-policy reinforcement-learning algorithms
    • S. Singh, T. Jaakkola, M. L. Littman, and C. Szepesvári. Convergence results for single-step on-policy reinforcement-learning algorithms. Machine Learning, 2000.
    • (2000) Machine Learning
    • Singh, S.1    Jaakkola, T.2    Littman, M.L.3    Szepesvári, C.4
  • 13
    • 0034205975 scopus 로고    scopus 로고
    • Multiagent systems: A survey from a machine learning perspective
    • P. Stone and M. Veloso. Multiagent systems: A survey from a machine learning perspective. Autonomous Robots, 8(3), 2000.
    • (2000) Autonomous Robots , vol.8 , Issue.3
    • Stone, P.1    Veloso, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.