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Volumn 1, Issue , 2008, Pages 358-365

Approximate predictive state representations

Author keywords

Factored models; Predictive state representations; Reinforcement learning

Indexed keywords

DYNAMICAL SYSTEMS; MULTI AGENT SYSTEMS; REINFORCEMENT LEARNING;

EID: 78649838205     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (16)
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    • Boyen, X.1    Roller, D.2
  • 3
    • 4544299571 scopus 로고    scopus 로고
    • Graphical models in local, asymmetric multi-agent markov decision processes
    • D. Dolgov and E. Durfee. Graphical models in local, asymmetric multi-agent markov decision processes. In Proceedings of AAMAS 2004, pages 956-963, 2004.
    • (2004) Proceedings of AAMAS 2004 , pp. 956-963
    • Dolgov, D.1    Durfee, E.2
  • 5
    • 14344251007 scopus 로고    scopus 로고
    • Learning and discovery of predictive state representations in dynamical systems with reset
    • M. R. James and S. Singh. Learning and discovery of predictive state representations in dynamical systems with reset. In Proceedings of ICML 2004, pages 417-424, 2004.
    • (2004) Proceedings of ICML 2004 , pp. 417-424
    • James, M.R.1    Singh, S.2
  • 7
    • 84880906306 scopus 로고    scopus 로고
    • Multi-agent influence diagrams for representing and solving games
    • D. Roller and B. Milch. Multi-agent influence diagrams for representing and solving games. In Proceedings of IJCAI 2001, pages 1027-1036, 2001.
    • (2001) Proceedings of IJCAI 2001 , pp. 1027-1036
    • Roller, D.1    Milch, B.2
  • 11
    • 0034887748 scopus 로고    scopus 로고
    • Capturing whole-genome characteristics in short sequences using a naive bayesian classifier
    • R. Sandberg, G. Winberg, C.-I. Branden, A. Raske, I. Ernberg, and J. Coster. Capturing Whole-Genome Characteristics in Short Sequences Using a Naive Bayesian Classifier. Genome Res., 11(8):1404-1409, 2001.
    • (2001) Genome Res. , vol.11 , Issue.8 , pp. 1404-1409
    • Sandberg, R.1    Winberg, G.2    Branden, C.-I.3    Raske, A.4    Ernberg, I.5    Coster, J.6
  • 12
    • 31844457132 scopus 로고    scopus 로고
    • Predictive state representations: A new theory for modeling dynamical systems
    • S. Singh, M. R. James, and M. Rudary. Predictive state representations: A new theory for modeling dynamical systems. In Proceedings of UAI 2004, pages 512-519, 2004.
    • (2004) Proceedings of UAI 2004 , pp. 512-519
    • Singh, S.1    James, M.R.2    Rudary, M.3
  • 13
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    • U.S. Federal Highway Administration
    • U.S. Federal Highway Administration. Interstate 80 freeway dataset. http://www.tfhrc.gov/about/06137.htm.
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  • 14
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    • Next generation simulation project
    • U.S. Federal Highway Administration. Next generation simulation project. http://ops.fhwa.dot.gov/trafficanalysistools/ngsim.htm.
  • 15
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    • Relational knowledge with predictive state representations
    • D. Wingate, V. Soni, B. Wolfe, and S. Singh. Relational knowledge with predictive state representations. In Proceedings of IJCAI 2007, pages 2035-2040, 2007.
    • (2007) Proceedings of IJCAI 2007 , pp. 2035-2040
    • Wingate, D.1    Soni, V.2    Wolfe, B.3    Singh, S.4
  • 16
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    • Learning predictive state representations in dynamical systems without reset
    • B. Wolfe. M. R. James, and S. Singh. Learning predictive state representations in dynamical systems without reset. In Proceedings of ICML 2005, pages 985-992, 2005.
    • (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.