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Volumn 1, Issue , 2008, Pages 518-525

Interaction-driven Markov games for decentralized multiagent planning under uncertainty

Author keywords

Cooperative multiagent systems; Planning under uncertainty; Team Markov games

Indexed keywords

AUTONOMOUS AGENTS;

EID: 84899992307     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (21)
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    • Nash Q-learning for general sum stochastic games
    • J. Hu and M. Wellman. Nash Q-learning for general sum stochastic games. J. Machine Learning Research, 4:1039-1069, 2003.
    • (2003) J. Machine Learning Research , vol.4 , pp. 1039-1069
    • Hu, J.1    Wellman, M.2
  • 11
    • 0000619048 scopus 로고
    • Extensive games and the problem of information
    • H. Kuhn. Extensive games and the problem of information. Annals of Mathematics Studies, 28:193-216, 1953.
    • (1953) Annals of Mathematics Studies , vol.28 , pp. 193-216
    • Kuhn, H.1
  • 13
    • 29344437834 scopus 로고    scopus 로고
    • Networked distributed POMDPs: A synthesis of distributed constraint optimization and POMDPs. in Proc
    • R. Nair, P. Varakantham, M. Tambe, and M. Yokoo. Networked distributed POMDPs: A synthesis of distributed constraint optimization and POMDPs. In Proc. Nat. Conf. Artificial Intelligence, pages 133-139, 2005.
    • (2005) Nat. Conf. Artificial Intelligence , pp. 133-139
    • Nair, R.1    Varakantham, P.2    Tambe, M.3    Yokoo, M.4
  • 17
    • 0010276944 scopus 로고    scopus 로고
    • Implicit imitation in multiagent reinforcement learning
    • B. Price and C. Boutilier. Implicit imitation in multiagent reinforcement learning. In Proc. Int. Conf. Machine Learning, pages 325-334, 1999.
    • (1999) Proc. Int. Conf. Machine Learning , pp. 325-334
    • Price, B.1    Boutilier, C.2
  • 18
    • 1142292938 scopus 로고    scopus 로고
    • The communicative multiagent team decision problem: Analyzing teamwork theories and models
    • D. Pynadath and M. Tambe. The communicative multiagent team decision problem: Analyzing teamwork theories and models. J. Artificial Intelligence Research, 16:389-423, 2002.
    • (2002) J. Artificial Intelligence Research , vol.16 , pp. 389-423
    • Pynadath, D.1    Tambe, M.2
  • 21
    • 84899022377 scopus 로고    scopus 로고
    • How to dynamically merge Markov decision processes
    • M. Jordan, M. Kearns, and S. Solla, editors
    • S. Singh and D. Cohn. How to dynamically merge Markov decision processes. In M. Jordan, M. Kearns, and S. Solla, editors, Adv. Neural Information Processing Systems 10, pages 1057-1063, 1998.
    • (1998) Adv. Neural Information Processing Systems , vol.10 , pp. 1057-1063
    • Singh, S.1    Cohn, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.