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Volumn 5211 LNAI, Issue PART 1, 2008, Pages 211-226

Online multiagent learning against memory bounded adversaries

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC ANALYSIS; DATABASE SYSTEMS; EDUCATION; FLOW INTERACTIONS; LEARNING SYSTEMS; ROBOT LEARNING;

EID: 56049086673     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87479-9_32     Document Type: Conference Paper
Times cited : (17)

References (16)
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    • Banerjee, B., Peng, J.: Rvσ(t): a unifying approach to performance and convergence in online multiagent learning. In: AAMAS 2006: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pp. 798-800. ACM Press, New York (2006)
    • Banerjee, B., Peng, J.: Rvσ(t): a unifying approach to performance and convergence in online multiagent learning. In: AAMAS 2006: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pp. 798-800. ACM Press, New York (2006)
  • 3
    • 84899027977 scopus 로고    scopus 로고
    • Convergence and no-regret in multiagent learning
    • MIT Press, Cambridge
    • Bowling, M.: Convergence and no-regret in multiagent learning. In: Neural Information Processing Systems, vol. 17. MIT Press, Cambridge (2005)
    • (2005) Neural Information Processing Systems , vol.17
    • Bowling, M.1
  • 4
    • 36348967415 scopus 로고    scopus 로고
    • Convergence of gradient dynamics with a variable learning rate
    • Morgan Kaufmann, San Francisco
    • Bowling, M., Veloso, M.: Convergence of gradient dynamics with a variable learning rate. In: Proc. 18th International Conf. on Machine Learning, pp. 27-34. Morgan Kaufmann, San Francisco (2001)
    • (2001) Proc. 18th International Conf. on Machine Learning , pp. 27-34
    • Bowling, M.1    Veloso, M.2
  • 5
    • 84880865940 scopus 로고    scopus 로고
    • Rational and convergent learning in stochastic games
    • Bowling, M.H., Veloso, M.M.: Rational and convergent learning in stochastic games. In: IJCAI, pp. 1021-1026 (2001)
    • (2001) IJCAI , pp. 1021-1026
    • Bowling, M.H.1    Veloso, M.M.2
  • 6
    • 0041965975 scopus 로고    scopus 로고
    • R-max - a general polynomial time algorithm for near-optimal reinforcement learning
    • Brafman, R.I., Tennenholtz, M.: R-max - a general polynomial time algorithm for near-optimal reinforcement learning. J. Mach. Learn. Res. 3, 213-231 (2003)
    • (2003) J. Mach. Learn. Res , vol.3 , pp. 213-231
    • Brafman, R.I.1    Tennenholtz, M.2
  • 7
    • 0031630561 scopus 로고    scopus 로고
    • The dynamics of reinforcement learning in cooperative multiagent systems
    • Claus, O., Boutilier, C.: The dynamics of reinforcement learning in cooperative multiagent systems. In: AAAI/IAAI, pp. 746-752 (1998)
    • (1998) AAAI/IAAI , pp. 746-752
    • Claus, O.1    Boutilier, C.2
  • 10
    • 56049126679 scopus 로고    scopus 로고
    • Greenwald, A, Jafari, A, Ercal, G, Gondek, D, On no-regret learning, fictitious play, and nash equilibrium
    • Greenwald, A., Jafari, A., Ercal, G., Gondek, D.: On no-regret learning, fictitious play, and nash equilibrium
  • 11
    • 85149834820 scopus 로고
    • Markov games as a framework for multi-agent reinforcement learning
    • New Brunswick, NJ, pp, Morgan Kaufmann, San Francisco
    • Littman, M.L.: Markov games as a framework for multi-agent reinforcement learning. In: Proceedings of the 11th International Conference on Machine Learning (ML 1994), New Brunswick, NJ, pp. 157-163. Morgan Kaufmann, San Francisco (1994)
    • (1994) Proceedings of the 11th International Conference on Machine Learning (ML , pp. 157-163
    • Littman, M.L.1
  • 13
    • 33745609272 scopus 로고    scopus 로고
    • Learning against opponents with bounded memory
    • Powers, R., Shoham, Y.: Learning against opponents with bounded memory. In: IJCAI, pp. 817-822 (2005)
    • (2005) IJCAI , pp. 817-822
    • Powers, R.1    Shoham, Y.2
  • 15
    • 56049126463 scopus 로고    scopus 로고
    • Stone, P., Littman, M.L.: Implicit negotiation in repeated games. In: Meyer, J.-J.C., Tambe, M. (eds.) ATAL 2001. LNCS (LNAI), 2333, pp. 96-105. Springer, Heidelberg (2002)
    • Stone, P., Littman, M.L.: Implicit negotiation in repeated games. In: Meyer, J.-J.C., Tambe, M. (eds.) ATAL 2001. LNCS (LNAI), vol. 2333, pp. 96-105. Springer, Heidelberg (2002)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.