• [pdf] [ps.gz] Simultaneous adversarial multi-robot learning,
    Michael Bowling and Manuela Veloso.
    In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence , Acapulco, Mexico, August 2003.
    To Appear.

  • [pdf] [ps.gz] Multiagent learning in the presence of agents with limitations,
    Michael Bowling.
    PhD thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, May 2003.
    Available as technical report CMU-CS-03-118.

  • [pdf] [ps.gz] Existence of multiagent equilibria with limited agents,
    Michael Bowling and Manuela Veloso.
    2003.
    Under Submission.

  • [pdf] Multi-robot team response to a multi-robot opponent team,
    James Bruce, Michael Bowling, Brett Browning, and Manuela Veloso.
    In Proceedings of the {IEEE} International Conference on Robotics and Automation , 2003.
    To Appear.

  • [pdf] [ps.gz] Scalable learning in stochastic games,
    Michael Bowling and Manuela Veloso.
    In AAAI Workshop on Game Theoretic and Decision Theoretic Agents , Edmonton, Canada, July 2002.

  • [pdf] [ps.gz] A formalization of equilibria for multiagent planning,
    Michael Bowling, Rune Jensen, and Manuela Veloso.
    In AAAI Workshop on Planning with and for Multiagent Systems , Edmonton, Canada, July 2002.

  • Towards robust teams with many agents,
    Gal A. Kaminka and Michael Bowling.
    In Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems , Bologna, Italy, July 2002.

  • [pdf] [ps.gz] Existence of multiagent equilibria with limited agents,
    Michael Bowling and Manuela M. Veloso.
    Technical report CMU-CS-02-104, Computer Science Department, Carnegie Mellon University, 2002.

  • [pdf] [ps.gz] Multiagent learning using a variable learning rate,
    Michael Bowling and Manuela Veloso.
    Artificial Intelligence , 136:215--250, 2002.

  • Improbability filtering for rejecting false positives,
    Brett Browning, Michael Bowling, and Manuela Veloso.
    In Proceedings of the International Conference on Robotics and Automation , Washington, D.C., May 2002.

  • [pdf] [ps.gz] OBDD-based optimistic and strong cyclic adversarial planning,
    Rune M. Jensen, Manuela M. Veloso, and Michael H. Bowling.
    In Proceedings of the Sixth European Conference on Planning , Toledo, Spain, September 2001.

  • [pdf] [ps.gz] Rational and convergent learning in stochastic games,
    Michael Bowling and Manuela Veloso.
    In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence , pages 1021--1026, Seattle, WA, August 2001.

  • [pdf] [ps.gz] Convergence of gradient dynamics with a variable learning rate,
    Michael Bowling and Manuela Veloso.
    In Proceedings of the Eighteenth International Conference on Machine Learning , pages 27--34, Williams College, June 2001.

  • [pdf] [ps.gz] An analysis of stochastic game theory for multiagent reinforcement learning,
    Michael Bowling and Manuela M. Veloso.
    Technical report CMU-CS-00-165, Computer Science Department, Carnegie Mellon University, 2000.

  • [pdf] [ps.gz] Convergence problems of general-sum multiagent reinforcement learning,
    Michael Bowling.
    In Proceedings of the Seventeenth International Conference on Machine Learning , pages 89--94, Stanford University, June 2000. Morgan Kaufman.

  • [pdf] [ps.gz] The CMUnited-98 champion small robot team,
    Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone.
    Advanced Robotics , 2000.
    An earlier version appeared in \it RoboCup-98: Robot Soccer World Cup II, Asada and Kitano (Eds.), Springer, 1999, pages 77--92. A shorter version appeared in the \it AI Magazine, 21:29--36.

  • [ps.gz] Bounding the suboptimality of reusing subproblems,
    Michael Bowling and Manuela Veloso.
    In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence , pages 1340--1345, Stockholm, Sweden, August 1999. Morgan Kaufman.
    An earlier version appeared in the {\it Proceedings of the NIPS Workshop on Abstraction in Reinforcement Learning}, 1998.

  • [ps.gz] Motion control in dynamic multi-robot environments,
    Michael Bowling and Manuela Veloso.
    In Proceedings of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation , pages 168--173, Monterey, CA, November 1999. IEEE.

  • Anticipation as a key for collaboration in a team of agents: A case study in robotic soccer,
    Manuela Veloso, Peter Stone, and Michael Bowling.
    In Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II , volume 3839, Boston, MA, September 1999.

  • [ps.gz] The CMUnited-98 champion small robot team,
    Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone.
    In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II , pages 77--92. Springer Verlag, Berlin, 1999.

  • Reusing learned policies between similar problems,
    Michael Bowling and Manuela Veloso.
    In Proceedings of the AI*IA-98 Workshop on New Trends in Robotics , Padua, Italy, October 1998.

  • [ps.gz] Predictive memory for an inaccessible environment,
    Michael Bowling, Peter Stone, and Manuela M. Veloso.
    In Working Notes of the IROS-96 Workshop on RoboCup , Osaka, Japan, November 1996.

  • Research in image understanding and automated cartography: 1995-1996,
    David M. McKeown, Jr., Michael Bowling, G. Edward Bulwinkle, Steven Douglas Cochran, Stephen J. Ford, Wilson A. Harvey, Dirk Kalp, Chris McGlone, Jeff McMahill, Michael F. Polis, Jefferey A. Shufelt, and Daniel Yocum.
    In Proceedings of the DARPA Image Understanding Workshop , pages 779--812. Morgan Kaufman, 1997.