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Volumn 34, Issue , 2009, Pages 297-337

Monte carlo sampling methods for approximating interactive POMDPs

Author keywords

[No Author keywords available]

Indexed keywords

FILTRATION; HIERARCHICAL SYSTEMS; MARKOV PROCESSES;

EID: 65349181883     PISSN: None     EISSN: 10769757     Source Type: Journal    
DOI: 10.1613/jair.2630     Document Type: Article
Times cited : (80)

References (56)
  • 3
    • 0000261383 scopus 로고    scopus 로고
    • Hierarchies of conditional beliefs and interactive epistemology in dynamic games
    • Battigalli, P., & Siniscalchi, M. (1999). Hierarchies of conditional beliefs and interactive epistemology in dynamic games. Journal of Economic Theory, 88(1), 188-230.
    • (1999) Journal of Economic Theory , vol.88 , Issue.1 , pp. 188-230
    • Battigalli, P.1    Siniscalchi, M.2
  • 6
    • 0346942368 scopus 로고    scopus 로고
    • Decision-theoretic planning: Structural assumptions and computational leverage
    • Boutilier, C, Dean, T., & Hanks, S. (1999). Decision-theoretic planning: Structural assumptions and computational leverage. Journal of Artificial Intelligence Research, 11, 1-94.
    • (1999) Journal of Artificial Intelligence Research , vol.11 , pp. 1-94
    • Boutilier, C.1    Dean, T.2    Hanks, S.3
  • 7
  • 10
    • 0036504051 scopus 로고    scopus 로고
    • A survey of convergence results on particle filtering methods for practitioners
    • Crisan, D., & Doucet, A. (2002). A survey of convergence results on particle filtering methods for practitioners. IEEE Transactions on Signal Processing, 50(3), 736-746.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.3 , pp. 736-746
    • Crisan, D.1    Doucet, A.2
  • 11
    • 0036458796 scopus 로고    scopus 로고
    • Mysterious computational complexity of particle filters
    • Conference on Signal and Data Processing of Small Targets, Orlando, FL
    • Daum, F., & Huang, J. (2002). Mysterious computational complexity of particle filters. In Conference on Signal and Data Processing of Small Targets, SPIE Proceedings Series, pp. 418-426, Orlando, FL.
    • (2002) SPIE Proceedings Series , pp. 418-426
    • Daum, F.1    Huang, J.2
  • 13
    • 36348938694 scopus 로고    scopus 로고
    • Improved state estimation in multiagent settings with continuous or large dscrete state spaces
    • Doshi, P. (2007). Improved state estimation in multiagent settings with continuous or large dscrete state spaces. In Twenty Second Conference on Artificial Intelligence (AAAI), pp. 712-717.
    • (2007) Twenty Second Conference on Artificial Intelligence (AAAI) , pp. 712-717
    • Doshi, P.1
  • 24
    • 0001667705 scopus 로고
    • Bayesian inference in econometric models using monte carlo integration
    • Geweke, J. (1989). Bayesian inference in econometric models using monte carlo integration. Econometrica, 57, 1317-1339.
    • (1989) Econometrica , vol.57 , pp. 1317-1339
    • Geweke, J.1
  • 26
    • 0027580559 scopus 로고
    • Novel approach to non-linear/non-gaussian bayesian state estimation
    • Gordon, N., Salmond, D., & Smith, A. (1993). Novel approach to non-linear/non-gaussian bayesian state estimation. IEEE Proceedings-F, 140(2), 107-113.
    • (1993) IEEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.1    Salmond, D.2    Smith, A.3
  • 27
    • 0000725056 scopus 로고
    • Games with incomplete information played by bayesian players
    • Harsanyi, J. C. (1967). Games with incomplete information played by bayesian players. Management Science, 14(3), 159-182.
    • (1967) Management Science , vol.14 , Issue.3 , pp. 159-182
    • Harsanyi, J.C.1
  • 28
    • 77956890234 scopus 로고
    • Monte carlo sampling methods using markov chains and their applications
    • Hastings, W. K. (1970). Monte carlo sampling methods using markov chains and their applications. Biometrika, 57, 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 29
  • 30
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • Kaelbling, L., Littman, M., & Cassandra, A. (1998). Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101, 99-134.
    • (1998) Artificial Intelligence , vol.101 , pp. 99-134
    • Kaelbling, L.1    Littman, M.2    Cassandra, A.3
  • 31
    • 0036832951 scopus 로고    scopus 로고
    • A sparse sampling algorithm for near-optimal planning in large markov decision processes
    • Kearns, M., Mansour, Y., & Ng, A. (2002). A sparse sampling algorithm for near-optimal planning in large markov decision processes. Machine Learning, 49, 193-208.
    • (2002) Machine Learning , vol.49 , pp. 193-208
    • Kearns, M.1    Mansour, Y.2    Ng, A.3
  • 32
    • 4544347076 scopus 로고    scopus 로고
    • Sampling in factored dynamic systems
    • Doucet, A, Freitas, N. D, & Gordon, N, Eds, Springer
    • Koller, D., & Lerner, U. (2001). Sampling in factored dynamic systems. In Doucet, A., Freitas, N. D., & Gordon, N. (Eds.), Sequential Monte Carlo Methods in Practice. Springer.
    • (2001) Sequential Monte Carlo Methods in Practice
    • Koller, D.1    Lerner, U.2
  • 33
    • 0000871666 scopus 로고
    • Recursive bayesian estimation using piecewise constant approximations
    • Kramer, S. C, & Sorenson, H. (1988). Recursive bayesian estimation using piecewise constant approximations. Automatica, 24, 789-801.
    • (1988) Automatica , vol.24 , pp. 789-801
    • Kramer, S.C.1    Sorenson, H.2
  • 35
    • 33845300407 scopus 로고
    • Formulation of bayesian analysis for games with incomplete information
    • Mertens, J., & Zamir, S. (1985). Formulation of bayesian analysis for games with incomplete information. International Journal of Game Theory, 14, 1-29.
    • (1985) International Journal of Game Theory , vol.14 , pp. 1-29
    • Mertens, J.1    Zamir, S.2
  • 48
    • 0001595705 scopus 로고
    • Chernoff-hoeffding bounds for applications with limited independence
    • Schmidt, J. P., Siegel, A., & Srinivasan, A. (1995). Chernoff-hoeffding bounds for applications with limited independence. SIAM Journal on Discrete Mathematics, 8(2), 223-250.
    • (1995) SIAM Journal on Discrete Mathematics , vol.8 , Issue.2 , pp. 223-250
    • Schmidt, J.P.1    Siegel, A.2    Srinivasan, A.3
  • 49
  • 50
    • 51649127552 scopus 로고    scopus 로고
    • Formal models and algorithms for decentralized decision making under uncertainty
    • Seuken, S., & Zilberstein, S. (2008). Formal models and algorithms for decentralized decision making under uncertainty. Journal of Autonomous Agents and Multiagent Systems, 17(2), 190-250.
    • (2008) Journal of Autonomous Agents and Multiagent Systems , vol.17 , Issue.2 , pp. 190-250
    • Seuken, S.1    Zilberstein, S.2
  • 51
    • 0015658957 scopus 로고
    • The optimal control of partially observable markov decision processes over a finite horizon
    • Smallwood, R., & Sondik, E. (1973). The optimal control of partially observable markov decision processes over a finite horizon. Operations Research, 21, 1071-1088.
    • (1973) Operations Research , vol.21 , pp. 1071-1088
    • Smallwood, R.1    Sondik, E.2
  • 52
    • 0000007140 scopus 로고
    • Recursive bayesian estimation using gaussian sums
    • Sorenson, H. W., & Alspach, D. L. (1971). Recursive bayesian estimation using gaussian sums. Automatica, 7, 465-479.
    • (1971) Automatica , vol.7 , pp. 465-479
    • Sorenson, H.W.1    Alspach, D.L.2
  • 55
    • 0029752470 scopus 로고    scopus 로고
    • Feature-based methods for large scale dynamic programming
    • Tsitsiklis, J., & Roy, B. V. (1996). Feature-based methods for large scale dynamic programming. Machine Learning, 22, 59-94.
    • (1996) Machine Learning , vol.22 , pp. 59-94
    • Tsitsiklis, J.1    Roy, B.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.