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Michail G. Lagoudakis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sven Koenig, Craig A. Tovey, Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Adam Meyerson, Sonal Jain
    The Power of Sequential Single-Item Auctions for Agent Coordination. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Michail G. Lagoudakis, Michael L. Littman
    Reinforcement Learning for Algorithm Selection. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1081- [Conf]
  3. Michail G. Lagoudakis, Anthony S. Maida
    Robot Navigation with a Polar Neural Map. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:965- [Conf]
  4. Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis
    Universal Access to Mobile Computing Devices through Speech Input. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1999, pp:286-292 [Conf]
  5. Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr
    Coordinated Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:227-234 [Conf]
  6. Michail G. Lagoudakis, Michael L. Littman
    Algorithm Selection using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:511-518 [Conf]
  7. Michail G. Lagoudakis, Ronald Parr
    Reinforcement Learning as Classification: Leveraging Modern Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:424-431 [Conf]
  8. Michail G. Lagoudakis, Ronald Parr
    Approximate Policy Iteration using Large-Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1432-1434 [Conf]
  9. Michail G. Lagoudakis, Ronald Parr
    Model-Free Least-Squares Policy Iteration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1547-1554 [Conf]
  10. Michail G. Lagoudakis, Ronald Parr
    Learning in Zero-Sum Team Markov Games Using Factored Value Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1627-1634 [Conf]
  11. Michail G. Lagoudakis
    An IDA Algorithm for Optimal Spare Allocation. [Citation Graph (0, 0)][DBLP]
    SAC, 1999, pp:486-488 [Conf]
  12. Michail G. Lagoudakis
    On Improving Mobile Robot Motion Control. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:551-554 [Conf]
  13. Michail G. Lagoudakis, Ronald Parr, Michael L. Littman
    Least-Squares Methods in Reinforcement Learning for Control. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:249-260 [Conf]
  14. Michail G. Lagoudakis, Ronald Parr
    Value Function Approximation in Zero-Sum Markov Games. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:283-292 [Conf]
  15. Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Sven Koenig, Craig A. Tovey, Adam Meyerson, Sonal Jain
    Auction-Based Multi-Robot Routing. [Citation Graph (0, 0)][DBLP]
    Robotics: Science and Systems, 2005, pp:343-350 [Conf]
  16. Michail G. Lagoudakis, Ronald Parr
    Least-Squares Policy Iteration. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1107-1149 [Journal]

  17. Binary action search for learning continuous-action control policies. [Citation Graph (, )][DBLP]


  18. Classifier-Based Policy Representation. [Citation Graph (, )][DBLP]


  19. Multi-robot routing under limited communication range. [Citation Graph (, )][DBLP]


  20. An interactive tool for designing complex robot motion patterns. [Citation Graph (, )][DBLP]


  21. Coordinated Team Play in the Four-Legged RoboCup League. [Citation Graph (, )][DBLP]


  22. Rollout Sampling Approximate Policy Iteration. [Citation Graph (, )][DBLP]


  23. Minimax Search and Reinforcement Learning for Adversarial Tetris. [Citation Graph (, )][DBLP]


  24. Heuristic Rule Induction for Decision Making in Near-Deterministic Domains. [Citation Graph (, )][DBLP]


  25. Histogram-Based Visual Object Recognition for the 2007 Four-Legged RoboCup League. [Citation Graph (, )][DBLP]


  26. RoboCup: A Challenge Problem for Artificial Intelligence. [Citation Graph (, )][DBLP]


  27. Incremental Multi-Objective Motion Control of Nonholonomic Mobile Robots. [Citation Graph (, )][DBLP]


  28. Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. [Citation Graph (, )][DBLP]


  29. A decision support system to facilitate management of patients with acute gastrointestinal bleeding. [Citation Graph (, )][DBLP]


  30. Rollout Sampling Approximate Policy Iteration [Citation Graph (, )][DBLP]


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