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    Author information
    First name: Michael L.
    Last name: Littman
    DBLP: l/MLLittman
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    Below you find the publications which have been written by this author.

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    Journal article
    Michael Kearns, Michael L. Littman, Satinder P. Singh.
    Graphical Models for Game Theory
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Judy Goldsmith, Michael L. Littman, Martin Mundhenk.
    The Complexity of Plan Existence and Evaluation in Probabilistic Domains
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang.
    Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling.
    On the Complexity of Solving Markov Decision Problems
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Michael L. Littman.
    A new way to search game trees: technical perspective.
    Commun. ACM 2012, Volume 55 (0) 2012
    Conference paper
    Ari Weinstein, Michael L. Littman.
    Bandit-Based Planning and Learning in Continuous-Action Markov Decision Processes.
    Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, ICAPS 2012, Atibaia, São Paulo, Brazil, June 25-19, 2012 2012 (0) 2012
    Conference paper
    Zongzhang Zhang, Michael L. Littman, Xiaoping Chen.
    Covering Number as a Complexity Measure for POMDP Planning and Learning.
    Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. 2012 (0) 2012
    Conference paper
    Michael Wunder, John Robert Yaros, Michael Kaisers, Michael L. Littman.
    A framework for modeling population strategies by depth of reasoning.
    International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes) 2012 (0) 2012
    Conference paper
    Enrique Munoz de Cote, Michael L. Littman.
    A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Thomas J. Walsh, István Szita, Carlos Diuk, Michael L. Littman.
    Exploring compact reinforcement-learning representations with linear regression
    CoRR 2012, Volume 0 (0) 2012
    Show item 1 to 10 of 164  

    Your query returned 164 matches in the database.