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Volumn , Issue , 2008, Pages 2644-2650

A point-based POMDP planner for target tracking

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN FUNCTIONS; COMPUTATIONAL COMPLEXITY; ENERGY CONSERVATION; INDUSTRIAL ENGINEERING; ROBOTICS; ROBOTS; TARGET TRACKING;

EID: 51649106250     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2008.4543611     Document Type: Conference Paper
Times cited : (70)

References (22)
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    • Accelerating point-based POMDP algorithms through successive approximations of the optimal reachable space
    • Technical Report TRA4/07, National University of Singapore. School of Computing, April
    • D. Hsu, W.S. Lee, and N. Rong. Accelerating point-based POMDP algorithms through successive approximations of the optimal reachable space. Technical Report TRA4/07, National University of Singapore. School of Computing, April 2007.
    • (2007)
    • Hsu, D.1    Lee, W.S.2    Rong, N.3
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    • Planning and acting in partially observable stochastic domains
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    • Kaelbling, L.P.1    Littman, M.L.2    Cassandra, A.R.3
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    • Adaptation for Changing Stochastic Environments through Online POMDP Policy Learning
    • G. Shani, R. Brafman, and S. Shimony. Adaptation for Changing Stochastic Environments through Online POMDP Policy Learning. In Proc. Eur. Conf. on Machine Learning, pages 61-70, 2005.
    • (2005) Proc. Eur. Conf. on Machine Learning , pp. 61-70
    • Shani, G.1    Brafman, R.2    Shimony, S.3
  • 18
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    • The optimal control of partially observable Markov processes over a finite horizon
    • R.D. Smallwood and E.J. Sondik. The optimal control of partially observable Markov processes over a finite horizon. Operations Research, 21:1071-1088, 1973.
    • (1973) Operations Research , vol.21 , pp. 1071-1088
    • Smallwood, R.D.1    Sondik, E.J.2
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    • 31144472319 scopus 로고    scopus 로고
    • Perseus: Randomized point-based value iteration for POMDPs
    • M.T.J. Spaan and N. Vlassis. Perseus: Randomized point-based value iteration for POMDPs. J. Artificial Intelligence Research, 24:195-220, 2005.
    • (2005) J. Artificial Intelligence Research , vol.24 , pp. 195-220
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    • Searching for a mobile intruder in a polygonal region
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    • Probabilistic pursuit-evasion games: Theory, implementation, and experimental evaluation
    • R. Vidal, O. Shakernia, H.J. Kim, D.H. Shim, and S Sastry. Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation. IEEE Trans. on Robotics & Automation, 18(5):662-669, 2002.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.