메뉴 건너뛰기




Volumn , Issue , 2005, Pages

VDCBPI: An approximate scalable algorithm for large POMDPs

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; NETWORK MANAGEMENT;

EID: 31144457984     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (16)
  • 2
    • 0030349220 scopus 로고    scopus 로고
    • Computing optimal policies for partially observable decision processes using compact representations
    • Portland, OR
    • C. Boutilier and D. Poole. Computing optimal policies for partially observable decision processes using compact representations. Proc. AAAI-96, pp.1168-1175, Portland, OR, 1996.
    • (1996) Proc. AAAI-96 , pp. 1168-1175
    • Boutilier, C.1    Poole, D.2
  • 3
    • 33644794709 scopus 로고    scopus 로고
    • Stochastic local search for pomdp controllers
    • to appear, San Jose, CA
    • D. Braziunas and C. Boutilier. Stochastic local search for POMDP controllers. Proc. AAAI-04, to appear, San Jose, CA, 2004.
    • (2004) Proc. AAAI-04
    • Braziunas, D.1    Boutilier, C.2
  • 4
    • 0001909869 scopus 로고    scopus 로고
    • Incremental pruning: A simple, fast, exact method for POMDPs
    • Providence, RI
    • A. R. Cassandra, M. L. Littman, and N. L. Zhang. Incremental pruning: A simple, fast, exact method for POMDPs. Proc. UAI-97, pp.54-61, Providence, RI, 1997.
    • (1997) Proc. UAI-97 , pp. 54-61
    • Cassandra, A.R.1    Littman, M.L.2    Zhang, N.L.3
  • 5
    • 84880898477 scopus 로고    scopus 로고
    • Max-norm projections for factored MDPs
    • Seattle, WA
    • C. Guestrin, D. Koller, and R. Parr. Max-norm projections for factored MDPs. Proc. IJCAI-01, pp.673-680, Seattle, WA, 2001.
    • (2001) Proc. IJCAI-01 , pp. 673-680
    • Guestrin, C.1    Koller, D.2    Parr, R.3
  • 7
    • 0003125478 scopus 로고    scopus 로고
    • Solving pomdps by searching in policy space
    • Madison, Wisconsin
    • E. A. Hansen. Solving POMDPs by searching in policy space. Proc. UAI-98, pp.211-219, Madison, Wisconsin, 1998.
    • (1998) Proc. UAI-98 , pp. 211-219
    • Hansen, E.A.1
  • 8
    • 85166243147 scopus 로고    scopus 로고
    • Dynamic programming for pomdps using a factored state representation
    • Breckenridge, CO
    • E. A. Hansen and Z. Feng. Dynamic programming for POMDPs using a factored state representation. Proc. AIPS-2000, pp.130-139, Breckenridge, CO, 2000.
    • (2000) Proc. AIPS-2000 , pp. 130-139
    • Hansen, E.A.1    Feng, Z.2
  • 9
    • 84898961998 scopus 로고    scopus 로고
    • Approximate planning for factored POMDPs
    • Toledo, Spain
    • E. A. Hansen and Z. Feng. Approximate planning for factored POMDPs. Proc. ECP-2001, Toledo, Spain, 2000.
    • (2000) Proc. ECP-2001
    • Hansen, E.A.1    Feng, Z.2
  • 10
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • L. P. Kaelbling, M. Littman, and A. R. Cassandra. Planning and acting in partially observable stochastic domains. Artif. Intel., 101:99-134, 1998.
    • (1998) Artif. Intel. , vol.101 , pp. 99-134
    • Kaelbling, L.P.1    Littman, M.2    Cassandra, A.R.3
  • 11
    • 0002103968 scopus 로고    scopus 로고
    • Learning finite-state controllers for partially observable environments
    • Stockholm
    • N. Meuleau, L. Peshkin, K. Kim, and L. P. Kaelbling. Learning finite-state controllers for partially observable environments. Proc. UAI-99, pp.427-436, Stockholm, 1999.
    • (1999) Proc. UAI-99 , pp. 427-436
    • Meuleau, N.1    Peshkin, L.2    Kim, K.3    Kaelbling, L.P.4
  • 12
    • 84880772945 scopus 로고    scopus 로고
    • Point-based value iteration: An anytime algorithm for POMDPs
    • Acapulco, Mexico
    • J. Pineau, G. Gordon, and S. Thrun. Point-based value iteration: An anytime algorithm for POMDPs. IJCAI-03, Acapulco, Mexico, 2003.
    • (2003) IJCAI-03
    • Pineau, J.1    Gordon, G.2    Thrun, S.3
  • 15
    • 85156196231 scopus 로고    scopus 로고
    • Exponential family PCA for belief compression in POMDPs
    • Vancouver, BC
    • N. Roy and G. Gordon. Exponential family PCA for belief compression in pomdps. Advances in Neural Information Processing Systems, pp.1635-1642, Vancouver, BC, 2002.
    • (2002) Advances in Neural Information Processing Systems , pp. 1635-1642
    • Roy, N.1    Gordon, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.