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Volumn 2, Issue , 2010, Pages 715-722

Learning multi-agent state space representations

Author keywords

Knowledge representation; Reinforcement Learning

Indexed keywords

ALGORITHMS; AUTONOMOUS AGENTS; KNOWLEDGE REPRESENTATION; MULTI AGENT SYSTEMS; REINFORCEMENT LEARNING; STATE SPACE METHODS;

EID: 84867671358     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (79)

References (17)
  • 7
    • 1942517280 scopus 로고    scopus 로고
    • Correlated-Q learning
    • AAAI Press
    • A. Greenwald and K. Hall. Correlated-Q learning. In AAAI Spring Symposium, pages 242-249. AAAI Press, 2003.
    • (2003) AAAI Spring Symposium , pp. 242-249
    • Greenwald, A.1    Hall, K.2
  • 9
    • 4644369748 scopus 로고    scopus 로고
    • Nash Q-learning for general-sum stochastic games
    • J. Hu and M. Wellman. Nash Q-learning for general-sum stochastic games. Journal of Machine Learning Research, 4:1039-1069,2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 1039-1069
    • Hu, J.1    Wellman, M.2
  • 15
    • 0028497630 scopus 로고
    • Asynchronous stochastic approximation and Q-learning
    • J. Tsitsiklis. Asynchronous stochastic approximation and Q-learning. Journal of Machine Learning, 16(3): 185-202, 1994.
    • (1994) Journal of Machine Learning , vol.16 , Issue.3 , pp. 185-202
    • Tsitsiklis, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.