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Volumn WS-06-13, Issue , 2006, Pages 22-28

A decision-theoretic model of assistance

Author keywords

[No Author keywords available]

Indexed keywords

DECISION-THEORETIC MODEL; DEMENTIA; DOMAIN MODELS;

EID: 33847611026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (16)
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    • Getting from here to there: Interactive planning and agent execution for optimizing travel
    • Ambite, J. L.; Barish, G.; Knoblock, C. A.; Muslea, M.; Oh, J.; and Minton, S. 2002. Getting from here to there: Interactive planning and agent execution for optimizing travel. In IAAI, 862-869.
    • (2002) IAAI , pp. 862-869
    • Ambite, J.L.1    Barish, G.2    Knoblock, C.A.3    Muslea, M.4    Oh, J.5    Minton, S.6
  • 3
    • 13444253014 scopus 로고    scopus 로고
    • Statistical goal parameter recognition
    • Blaylock, N., and Allen, J. F. 2004. Statistical goal parameter recognition. In ICAPS, 297-305.
    • (2004) ICAPS , pp. 297-305
    • Blaylock, N.1    Allen, J.F.2
  • 4
    • 84880705310 scopus 로고    scopus 로고
    • A decision-theoretic approach to task assistance for persons with dementia
    • Boger, J.; Poupart, P.; Hoey, J.; Boutilier, C.; Fernie, G.; and Mihailidis, A. 2005. A decision-theoretic approach to task assistance for persons with dementia. In IJCAI, 1293-1299.
    • (2005) IJCAI , pp. 1293-1299
    • Boger, J.1    Poupart, P.2    Hoey, J.3    Boutilier, C.4    Fernie, G.5    Mihailidis, A.6
  • 5
    • 0346942368 scopus 로고    scopus 로고
    • Decision-theoretic planning: Structural assumptions and computational leverage
    • Boutilier, C.; Dean, T.; and Hanks, S. 1999. Decision-theoretic planning: Structural assumptions and computational leverage. JAIR 11:1-94.
    • (1999) JAIR , vol.11 , pp. 1-94
    • Boutilier, C.1    Dean, T.2    Hanks, S.3
  • 6
    • 0042254114 scopus 로고    scopus 로고
    • Policy recognition in the abstract hidden markov models
    • Bui, H.; Venkatesh, S.; and West, G. 2002. Policy recognition in the abstract hidden markov models. JAIR 17:451-499.
    • (2002) JAIR , vol.17 , pp. 451-499
    • Bui, H.1    Venkatesh, S.2    West, G.3
  • 10
    • 4544318426 scopus 로고    scopus 로고
    • Efficient solution algorithms for factored MDPs
    • Guestrin, C.; Koller, D.; Parr, R.; and Venkataraman, S. 2003. Efficient solution algorithms for factored MDPs. JAIR 399-468.
    • (2003) JAIR , pp. 399-468
    • Guestrin, C.1    Koller, D.2    Parr, R.3    Venkataraman, S.4
  • 11
    • 84880649215 scopus 로고    scopus 로고
    • A sparse sampling algorithm for near-optimal planning in large markov decision processes
    • Kearns, M. J.; Mansour, Y.; and Ng, A. Y. 1999. A sparse sampling algorithm for near-optimal planning in large markov decision processes. In IJCAI, 1324-1231.
    • (1999) IJCAI , pp. 1324-1231
    • Kearns, M.J.1    Mansour, Y.2    Ng, A.Y.3
  • 14
    • 0027684215 scopus 로고
    • Prioritized sweeping: Reinforcement learning with less data and less time
    • Moore, A. W., and Atkeson, C. G. 1993. Prioritized sweeping: Reinforcement learning with less data and less time. Machine Learning 13:103-130.
    • (1993) Machine Learning , vol.13 , pp. 103-130
    • Moore, A.W.1    Atkeson, C.G.2
  • 15
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    • Probabilistic state-dependent grammars for plan recognition
    • Pynadath, D. V., and Wellman, M. P. 2000. Probabilistic state-dependent grammars for plan recognition. In UAI, 507-514.
    • (2000) UAI , pp. 507-514
    • Pynadath, D.V.1    Wellman, M.P.2
  • 16
    • 33644814996 scopus 로고    scopus 로고
    • Exploiting belief bounds: Practical pomdps for personal assistant agents
    • Varakantham, P.; Maheswaran, R. T.; and Tambe, M. 2005. Exploiting belief bounds: practical pomdps for personal assistant agents. In AAMAS, 978-985.
    • (2005) AAMAS , pp. 978-985
    • Varakantham, P.1    Maheswaran, R.T.2    Tambe, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.