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Volumn , Issue , 2007, Pages 304-311

Generating exponentially smaller POMDP models using conditionally irrelevant variable abstraction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 58349115194     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 2
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    • Using abstractions for decision-theoretic planning with time constraints
    • Boutilier, C., and Dearden, R. 1994. Using abstractions for decision-theoretic planning with time constraints. In AAAI.
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    • Boutilier, C.1    Dearden, R.2
  • 3
    • 0034248853 scopus 로고    scopus 로고
    • Stochastic dynamic programming with factored representations
    • Boutilier, C.; Dearden, R.; and Goldszmidt, M. 2000. Stochastic dynamic programming with factored representations. Artificial Intelligence 121:49-107.
    • (2000) Artificial Intelligence , vol.121 , pp. 49-107
    • Boutilier, C.1    Dearden, R.2    Goldszmidt, M.3
  • 7
    • 0038517214 scopus 로고    scopus 로고
    • Equivalence notions and model minimization in Markov decision processes
    • Givan, R.; Dean, T.; and Greig, M. 2003. Equivalence notions and model minimization in Markov decision processes. Artificial Intelligence 147:163-223.
    • (2003) Artificial Intelligence , vol.147 , pp. 163-223
    • Givan, R.1    Dean, T.2    Greig, M.3
  • 8
    • 0012296128 scopus 로고    scopus 로고
    • Multiagent planning with factored MDPs
    • Guestrin, C.; Roller, D.; and Parr, R. 2001. Multiagent planning with factored MDPs. In NIPS.
    • (2001) NIPS
    • Guestrin, C.1    Roller, D.2    Parr, R.3
  • 9
    • 85166243147 scopus 로고    scopus 로고
    • Dynamic programming for POMDPs using a factored state representation
    • Hansen, E., and Feng, Z. 2000. Dynamic programming for POMDPs using a factored state representation. In ICAPS.
    • (2000) ICAPS
    • Hansen, E.1    Feng, Z.2
  • 10
    • 0004835198 scopus 로고    scopus 로고
    • Approximate planning for factored pomdps using belief state simplification
    • McAllester, D., and Singh, S. 1999. Approximate planning for factored pomdps using belief state simplification. In UAI.
    • (1999) UAI
    • McAllester, D.1    Singh, S.2
  • 12
    • 20444478005 scopus 로고    scopus 로고
    • Policycontingent abstraction for robust robot control
    • Pineau, J.; Gordon, G.; and Thrun, S. 2003. Policycontingent abstraction for robust robot control. In UAI.
    • (2003) UAI
    • Pineau, J.1    Gordon, G.2    Thrun, S.3
  • 13
    • 33646016345 scopus 로고    scopus 로고
    • VDCBPI: An approximate scalable algorithm for large scale POMDPs
    • Poupart, P., and Boutilier, C. 2004. VDCBPI: an approximate scalable algorithm for large scale POMDPs. In NIPS.
    • (2004) NIPS
    • Poupart, P.1    Boutilier, C.2
  • 14
    • 80053262864 scopus 로고    scopus 로고
    • Point-based POMDP algorithms: Improved analysis and implementation
    • Smith, T., and Simmons, R. 2005. Point-based POMDP algorithms: Improved analysis and implementation. In UAI.
    • (2005) UAI
    • Smith, T.1    Simmons, R.2
  • 15
    • 85163513877 scopus 로고    scopus 로고
    • Smith, T. 2007. Probabilistic Planning for Robotic Exploration. Ph.D. Dissertation, Carnegie Mellon University Robotics Institute, Pittsburgh, PA. (To appear, see also http://www.cs.cmu.edu/~trey/zmdp/).
    • Smith, T. 2007. Probabilistic Planning for Robotic Exploration. Ph.D. Dissertation, Carnegie Mellon University Robotics Institute, Pittsburgh, PA. (To appear, see also http://www.cs.cmu.edu/~trey/zmdp/).
  • 16
    • 31144472319 scopus 로고    scopus 로고
    • Perseus: Randomized point-based value iteration for POMDPs
    • Spaan, M. T. J., and Vlassis, N. 2005. Perseus: Randomized point-based value iteration for POMDPs. J. Artificial Intelligence Res. 24:195-220.
    • (2005) J. Artificial Intelligence Res , vol.24 , pp. 195-220
    • Spaan, M.T.J.1    Vlassis, N.2
  • 17
    • 26944499565 scopus 로고    scopus 로고
    • CODD: Approximate policy construction using decision diagrams
    • APRI
    • St. Aubin, R.; Hoey, J.; and Boutilier, C. 2000. APRI-CODD: Approximate policy construction using decision diagrams. In NIPS, 1089-1095.
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    • St. Aubin, R.1    Hoey, J.2    Boutilier, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.