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Volumn , Issue , 2005, Pages 463-470

Approximating state estimation in multiagent settings using particle filters

Author keywords

Approximation; Bayesian Learning; Multiagent state estimation; Particle Filters

Indexed keywords

APPROXIMATION; BAYESIAN LEARNING; MULTIAGENT STATE ESTIMATION; PARTICLE FILTERS;

EID: 33644806754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (17)
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    • Battigalli, P.1    Bonanno, G.2
  • 7
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    • NYC, NY
    • P. Gmytrasiewicz and P. Doshi. Interactive pomdps: Properties and preliminary results. In AAMAS, pages 1374-1375, NYC, NY, 2004.
    • (2004) AAMAS , pp. 1374-1375
    • Gmytrasiewicz, P.1    Doshi, P.2
  • 8
    • 29344465971 scopus 로고    scopus 로고
    • A framework for sequential planning in multiagent settings
    • P. Gmytrasiewicz and P. Doshi. A framework for sequential planning in multiagent settings. Journal of AI Research, 23, 2005.
    • (2005) Journal of AI Research , vol.23
    • Gmytrasiewicz, P.1    Doshi, P.2
  • 9
    • 0027580559 scopus 로고
    • Novel approach to non-linear/non-gaussian bayesian state estimation
    • N. Gordon, D. Salmond, and A. Smith. Novel approach to non-linear/non-gaussian bayesian state estimation. IEEE Proceedings-F, 140(2):107-113, 1993.
    • (1993) IEEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.1    Salmond, D.2    Smith, A.3
  • 10
    • 0000725056 scopus 로고
    • Games with incomplete information played by 'bayesian' players
    • J. C. Harsanyi. Games with incomplete information played by 'bayesian' players. Mgmt. Science, 14(3):159-182, 1967.
    • (1967) Mgmt. Science , vol.14 , Issue.3 , pp. 159-182
    • Harsanyi, J.C.1
  • 14
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    • Formulation of bayesian analysis for games with incomplete information
    • J. Mertens and S. Zamir. Formulation of bayesian analysis for games with incomplete information. International Journal of Game Theory, 14:1-29, 1985.
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    • Mertens, J.1    Zamir, S.2
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    • The optimal control of partially observable markov decision processes over a finite horizon
    • R. Smallwood and E. Sondik. The optimal control of partially observable markov decision processes over a finite horizon. Operations Research, 21:1071-1088, 1973.
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    • Smallwood, R.1    Sondik, E.2
  • 17
    • 84898978676 scopus 로고    scopus 로고
    • Monte carlo pomdps
    • S. Thrun. Monte carlo pomdps. In NIPS 12, pages 1064-1070, 2000.
    • (2000) NIPS , vol.12 , pp. 1064-1070
    • Thrun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.