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Volumn 5, Issue , 2010, Pages 201-208

POMDPs for robotic tasks with mixed observability

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84959574091     PISSN: 23307668     EISSN: 2330765X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (20)
  • 3
    • 0001770240 scopus 로고    scopus 로고
    • Value-function approximations for partially observable Markov decision processes
    • M. Hauskrecht. Value-function approximations for partially observable Markov decision processes. J. Artificial Intelligence Research, 13:33-94, 2000.
    • (2000) J. Artificial Intelligence Research , vol.13 , pp. 33-94
    • Hauskrecht, M.1
  • 4
    • 0008905105 scopus 로고    scopus 로고
    • Planning medical therapy using partially observable Markov decision processes
    • M. Hauskrecht and H. Fraser. Planning medical therapy using partially observable Markov decision processes. In Proc. Int. Workshop on Principles of Diagnosis, pp. 182-189, 1998.
    • (1998) Proc. Int. Workshop on Principles of Diagnosis , pp. 182-189
    • Hauskrecht, M.1    Fraser, H.2
  • 8
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • L. Kaelbling, M. Littman, and A. Cassandra. Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101(1-2):99-134, 1998.
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 99-134
    • Kaelbling, L.1    Littman, M.2    Cassandra, A.3
  • 9
    • 70349645087 scopus 로고    scopus 로고
    • SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces
    • H. Kurniawati, D. Hsu, and W. Lee. SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces. In Proc. Robotics: Science and Systems, 2008.
    • (2008) Proc. Robotics: Science and Systems
    • Kurniawati, H.1    Hsu, D.2    Lee, W.3
  • 14
    • 27344443125 scopus 로고    scopus 로고
    • Finding aproximate POMDP solutions through belief compression
    • N. Roy, G. Gordon, and S. Thrun. Finding aproximate POMDP solutions through belief compression. J. Artificial Intelligence Research, 23:1-40, 2005.
    • (2005) J. Artificial Intelligence Research , vol.23 , pp. 1-40
    • Roy, N.1    Gordon, G.2    Thrun, S.3
  • 17
    • 0015658957 scopus 로고
    • The optimal control of partially observable Markov processes over a finite horizon
    • R. Smallwood and E. 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.1    Sondik, E.2
  • 19
    • 80053262864 scopus 로고    scopus 로고
    • Point-based POMDP algorithms: Improved analysis and implementation
    • T.Smith. Point-based POMDP algorithms: Improved analysis and implementation. In Proc. Uncertainty in Artificial Intelligence, 2005.
    • (2005) Proc. Uncertainty in Artificial Intelligence
    • Smith, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.