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    Author information
    First name: Michael R.
    Last name: James
    DBLP: 34/3666
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    Below you find the publications which have been written by this author.

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    Conference paper
    Satinder Singh, Michael R. James, Matthew R. Rudary.
    Predictive State Representations: A New Theory for Modeling Dynamical Systems
    CoRR 2012, Volume 0 (0) 2012
    Journal article
    Ming-Chang Chiang, Marina Barysheva, Arthur W. Toga, Sarah E. Medland, Narelle K. Hansell, Michael R. James, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson.
    BDNF gene effects on brain circuitry replicated in 455 twins.
    NeuroImage 2011, Volume 55 (0) 2011
    Conference paper
    Michael R. James, Satinder P. Singh.
    SarsaLandmark: an algorithm for learning in POMDPs with landmarks.
    8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, 2009, Volume 1 2009 (0) 2009
    Book chapter
    Stephen J. Lane, Michael R. James.
    Volcanic Eruptions, Explosive: Experimental Insights.
    Encyclopedia of Complexity and Systems Science 2009 (0) 2009
    Conference paper
    Britton Wolfe, Michael R. James, Satinder P. Singh.
    Approximate predictive state representations.
    7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 1 2008 (0) 2008
    Conference paper
    Dmitri A. Dolgov, Michael R. James, Michael E. Samples.
    Combinatorial resource scheduling for multiagent MDPs.
    6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), Honolulu, Hawaii, USA, May 14-18, 2007 2007 (0) 2007
    Conference paper
    Michael R. James, Michael E. Samples, Dmitri A. Dolgov.
    Improving Anytime Point-Based Value Iteration Using Principled Point Selections.
    IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007 2007 (0) 2007
    Conference paper
    Michael R. James, Ton Wessling, Nikos A. Vlassis.
    Improving Approximate Value Iteration Using Memories and Predictive State Representations.
    Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA 2006 (0) 2006
    Conference paper
    Michael R. James, Satinder P. Singh.
    Planning in Models that Combine Memory with Predictive Representations of State.
    Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005, Pittsburgh, Pennsylvania, USA 2005 (0) 2005
    Conference paper
    Britton Wolfe, Michael R. James, Satinder P. Singh.
    Learning predictive state representations in dynamical systems without reset.
    Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 2005 (0) 2005
    Conference paper
    Michael R. James, Britton Wolfe, Satinder P. Singh.
    Combining Memory and Landmarks with Predictive State Representations.
    IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, 2005 2005 (0) 2005
    Conference paper
    Michael R. James, Satinder P. Singh.
    Learning and discovery of predictive state representations in dynamical systems with reset.
    Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004 2004 (0) 2004
    Conference paper
    Satinder P. Singh, Michael R. James, Matthew R. Rudary.
    Predictive State Representations: A New Theory for Modeling Dynamical Systems.
    UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, Banff, Canada, July 7-11, 2004 2004 (0) 2004
    Conference paper
    Michael R. James, Satinder P. Singh, Michael L. Littman.
    Planning with predictive state representations.
    Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA. 2004 (0) 2004
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