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Michael H. Bowling: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michael H. Bowling, Peter McCracken
    Coordination and Adaptation in Impromptu Teams. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:53-58 [Conf]
  2. Michael Bowling, Dana F. Wilkinson, Ali Ghodsi
    Subjective Mapping. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Alborz Geramifard, Michael Bowling, Richard S. Sutton
    Incremental Least-Squares Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  4. Armita Kaboli, Michael Bowling, Petr Musílek
    Bayesian Calibration for Monte Carlo Localization. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  5. Achim Rettinger, Martin Zinkevich, Michael Bowling
    Boosting Expert Ensembles for Rapid Concept Recall. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  6. Nathan R. Sturtevant, Martin Zinkevich, Michael Bowling
    Prob-Maxn: Playing N-Player Games with Opponent Models. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  7. Tao Wang, Pascal Poupart, Michael Bowling, Dale Schuurmans
    Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  8. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    CMUnited-98: A Team of Robotic Soccer Agents. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:891-896 [Conf]
  9. Martin Zinkevich, Michael Bowling, Nolan Bard, Morgan Kan, Darse Billings
    Optimal Unbiased Estimators for Evaluating Agent Performance. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  10. Michael H. Bowling, Brett Browning, Manuela M. Veloso
    Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2004, pp:376-383 [Conf]
  11. Gal A. Kaminka, Michael H. Bowling
    Towards robust teams with many agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:729-736 [Conf]
  12. Nathan R. Sturtevant, Michael Bowling
    Robust game play against unknown opponents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:713-719 [Conf]
  13. Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron
    Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. [Citation Graph (0, 0)][DBLP]
    Computers and Games, 2004, pp:21-34 [Conf]
  14. Michael H. Bowling
    Convergence Problems of General-Sum Multiagent Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:89-94 [Conf]
  15. Michael Bowling, Ali Ghodsi, Dana F. Wilkinson
    Action respecting embedding. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:65-72 [Conf]
  16. Michael Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson
    Learning predictive state representations using non-blind policies. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:129-136 [Conf]
  17. Michael H. Bowling, Manuela M. Veloso
    Convergence of Gradient Dynamics with a Variable Learning Rate. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:27-34 [Conf]
  18. Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
    Bayesian sparse sampling for on-line reward optimization. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:956-963 [Conf]
  19. Brett Browning, Michael H. Bowling, Manuela M. Veloso
    Improbability Filtering for Rejecting False Positives. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:3038-3043 [Conf]
  20. James Bruce, Michael H. Bowling, Brett Browning, Manuela M. Veloso
    Multi-robot team response to a multi-robot opponent team. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:2281-2286 [Conf]
  21. Michael H. Bowling, Rune M. Jensen, Manuela M. Veloso
    A Formalization of Equilibria for Multiagent Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1460-1462 [Conf]
  22. Michael H. Bowling, Manuela M. Veloso
    Rational and Convergent Learning in Stochastic Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:1021-1026 [Conf]
  23. Michael H. Bowling, Manuela M. Veloso
    Simultaneous Adversarial Multi-Robot Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:699-704 [Conf]
  24. Michael H. Bowling, Manuela M. Veloso
    Bounding the Suboptimality of Reusing Subproblem. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1340-1347 [Conf]
  25. Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi
    Learning Subjective Representations for Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:889-894 [Conf]
  26. Daniel J. Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans
    Automatic Gait Optimization with Gaussian Process Regression. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:944-949 [Conf]
  27. Michael Bowling
    Convergence and No-Regret in Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  28. Peter McCracken, Michael H. Bowling
    Online Discovery and Learning of Predictive State Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  29. Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso
    Plays as Team Plans for Coordination and Adaptation. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:686-693 [Conf]
  30. Michael H. Bowling, Manuela M. Veloso
    Motion Control in Dynamic Multi-Robot Environments. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:222-230 [Conf]
  31. Brett Browning, Michael H. Bowling, James Bruce, Ravi Balasubramanian, Manuela M. Veloso
    CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:567-570 [Conf]
  32. Manuela M. Veloso, Michael H. Bowling, Sorin Achim
    CMUnited-99: Small-Size Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:661-662 [Conf]
  33. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    The CMUnited-98 Small-Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:77-92 [Conf]
  34. Michael H. Bowling
    Approximation Techniques in Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    SARA, 2002, pp:328-329 [Conf]
  35. Michael H. Bowling, Manuela M. Veloso
    Multiagent learning using a variable learning rate. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:136, n:2, pp:215-250 [Journal]
  36. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:29-36 [Journal]
  37. Michael H. Bowling, Manuela M. Veloso
    Existence of Multiagent Equilibria with Limited Agents. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:22, n:, pp:353-384 [Journal]
  38. Martin Zinkevich, Michael Bowling, Neil Burch
    A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:788-0 [Conf]
  39. Nolan Bard, Michael Bowling
    Particle Filtering for Dynamic Agent Modelling in Simplified Poker. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:515-514 [Conf]
  40. Alborz Geramifard, Michael Bowling, Martin Zinkevich, Richard S. Sutton
    iLSTD: Eligibility Traces and Convergence Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:441-448 [Conf]
  41. Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
    Bayes? Bluff: Opponent Modelling in Poker. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:550-558 [Conf]

  42. Sigma point policy iteration. [Citation Graph (, )][DBLP]


  43. Autonomous geocaching: navigation and goal finding in outdoor domains. [Citation Graph (, )][DBLP]


  44. A demonstration of the Polaris poker system. [Citation Graph (, )][DBLP]


  45. Abstraction pathologies in extensive games. [Citation Graph (, )][DBLP]


  46. Strategy evaluation in extensive games with importance sampling. [Citation Graph (, )][DBLP]


  47. Apprenticeship learning using linear programming. [Citation Graph (, )][DBLP]


  48. Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. [Citation Graph (, )][DBLP]


  49. Probabilistic State Translation in Extensive Games with Large Action Sets. [Citation Graph (, )][DBLP]


  50. Learning a Value Analysis Tool for Agent Evaluation. [Citation Graph (, )][DBLP]


  51. Stable Dual Dynamic Programming. [Citation Graph (, )][DBLP]


  52. Regret Minimization in Games with Incomplete Information. [Citation Graph (, )][DBLP]


  53. Computing Robust Counter-Strategies. [Citation Graph (, )][DBLP]


  54. A Practical Use of Imperfect Recall. [Citation Graph (, )][DBLP]


  55. Multidisciplinary students and instructors: a second-year games course. [Citation Graph (, )][DBLP]


  56. Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping. [Citation Graph (, )][DBLP]


  57. Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games. [Citation Graph (, )][DBLP]


  58. Subjective Localization with Action Respecting Embedding. [Citation Graph (, )][DBLP]


  59. The CMUnited-98 champion small-robot team. [Citation Graph (, )][DBLP]


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