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Volumn , Issue , 2002, Pages 1603-1610

Efficient Learning Equilibrium

Author keywords

[No Author keywords available]

Indexed keywords

GAME THEORY; POLYNOMIAL APPROXIMATION; STOCHASTIC SYSTEMS;

EID: 34247193577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 1
    • 84898967750 scopus 로고    scopus 로고
    • R-max - a general polynomial time algorithm for near-optimal reinforcement learning
    • R. I. Brafman and M. Tennenholtz. R-max - a general polynomial time algorithm for near-optimal reinforcement learning. In IJCAI'Ol, 200l.
    • IJCAI'Ol , pp. 200l
    • Brafman, R. I.1    Tennenholtz, M.2
  • 2
  • 3
    • 0008614785 scopus 로고    scopus 로고
    • The dynamics of reinforcement learning in cooperative multi-agent systems
    • C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multi-agent systems. In Proc. Workshop on Multi-Agent Learning, pages 602-608, 1997.
    • (1997) Proc. Workshop on Multi-Agent Learning , pp. 602-608
    • Claus, C.1    Boutilier, C.2
  • 4
    • 0038829878 scopus 로고    scopus 로고
    • Predicting how people play games: Reinforcement learning in games with unique strategy equilibrium
    • I. Erev and A.E. Roth. Predicting how people play games: Reinforcement learning in games with unique strategy equilibrium. American Economic Review, 88:848-881, 1998.
    • (1998) American Economic Review , vol.88 , pp. 848-881
    • Erev, I.1    Roth, A.E.2
  • 7
    • 0000929496 scopus 로고    scopus 로고
    • Multi-agent reinforcement learning: Theoretical framework and an algorithms
    • J. Hu and M.P. Wellman. Multi-agent reinforcement learning: Theoretical framework and an algorithms. In Proc. 15th ICML, 1998.
    • (1998) Proc. 15th ICML
    • Hu, J.1    Wellman, M.P.2
  • 9
    • 85149834820 scopus 로고
    • Markov games as a framework for multi-agent reinforcement learning
    • M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Proc. 11th ICML, pages 157-163, 1994.
    • (1994) Proc. 11th ICML , pp. 157-163
    • Littman, M. L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.