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Volumn 2006, Issue , 2006, Pages 1025-1032

Predictive state representations with options

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS; KNOWLEDGE REPRESENTATION; MATHEMATICAL MODELS; PROBABILITY;

EID: 33749244972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 1
    • 0141988716 scopus 로고    scopus 로고
    • Recent advances in hierarchical reinforcement learning
    • Barto, A., & Mahadevan, S. (2003). Recent advances in hierarchical reinforcement learning. Discrete Event Dynamic Systems, 13, 341-379.
    • (2003) Discrete Event Dynamic Systems , vol.13 , pp. 341-379
    • Barto, A.1    Mahadevan, S.2
  • 2
    • 0001806701 scopus 로고    scopus 로고
    • The MAXQ method for hierarchical reinforcement learning
    • Dietterich, T. G. (1998). The MAXQ method for hierarchical reinforcement learning. Proceedings of ICML 1998 (pp. 118-126).
    • (1998) Proceedings of ICML 1998 , pp. 118-126
    • Dietterich, T.G.1
  • 3
    • 0006419533 scopus 로고    scopus 로고
    • Hierarchical solution of markov decision processes using macro-actions
    • Hauskrecht, M., Meuleau, N., Kaelbling, L. P., Dean, T., & Boutilier, C. (1998). Hierarchical solution of markov decision processes using macro-actions. UAI (pp. 220-229).
    • (1998) UAI , pp. 220-229
    • Hauskrecht, M.1    Meuleau, N.2    Kaelbling, L.P.3    Dean, T.4    Boutilier, C.5
  • 4
    • 14344251007 scopus 로고    scopus 로고
    • Learning and discovery of predictive state representations in dynamical systems with reset
    • James, M. R., & Singh, S. (2004). Learning and discovery of predictive state representations in dynamical systems with reset. Proceedings of ICML 2004 (pp. 417-424).
    • (2004) Proceedings of ICML 2004 , pp. 417-424
    • James, M.R.1    Singh, S.2
  • 5
    • 84880751993 scopus 로고    scopus 로고
    • Combining memory and landmarks with predictive state representations
    • James, M. R., Wolfe, B., & Singh, S. (2005). Combining memory and landmarks with predictive state representations. Proceedings of IJCAI 2005 (pp. 734-739).
    • (2005) Proceedings of IJCAI 2005 , pp. 734-739
    • James, M.R.1    Wolfe, B.2    Singh, S.3
  • 7
    • 33749263456 scopus 로고    scopus 로고
    • Predictive state representations: A new theory for modeling dynamical systems
    • Singh, S., James, M. R., & Rudary, M. (2004). Predictive state representations: A new theory for modeling dynamical systems. UAI (pp. 512-519).
    • (2004) UAI , pp. 512-519
    • Singh, S.1    James, M.R.2    Rudary, M.3
  • 8
    • 0033170372 scopus 로고    scopus 로고
    • Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning
    • Sutton, R. S., Precup, D., & Singh, S. (1999). Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning. Artificial Intelligence, 112, 181-211.
    • (1999) Artificial Intelligence , vol.112 , pp. 181-211
    • Sutton, R.S.1    Precup, D.2    Singh, S.3
  • 10
    • 31844453029 scopus 로고    scopus 로고
    • Learning predictive state representations in dynamical systems without reset
    • Wolfe, B., James, M. R., & Singh, S. (2005). Learning predictive state representations in dynamical systems without reset. Proceedings of ICML 2005 (pp. 985-992).
    • (2005) Proceedings of ICML 2005 , pp. 985-992
    • Wolfe, B.1    James, M.R.2    Singh, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.