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City Cambridge / Lauderdale / / Company Autonomous Systems / MIT Press / Bernstein / A. R. Cassandra L. P. / / Country Canada / / Currency USD / / / Facility Prentice Hall / Computer Science Carnegie Mellon University / Gates Hall / / IndustryTerm real-time controller / maximization algorithm / multi-agent systems / near-optimal solutions / alternatingmaximization algorithm / Coordination protocols / approximate solution / equilibrium solution / policy search / cross-product / robotics applications / gradient descent search / / MusicGroup Tiger / Lady / / Organization MIT / Stanford University / Jeff Schneider School of Computer Science Carnegie Mellon University Pittsburgh / Team / Natural Sciences and Engineering Research Council of Canada / Stanford University Stanford / Stanford / / Person Rosemary Emery-Montemerlo / Geoff Gordon / P. Xuan / V / Sebastian Thrun Stanford / / / Position Propagate forward / system designer / real-time controller / paramedic / / ProvinceOrState Florida / Massachusetts / / PublishedMedium Games and Economic Behavior / Journal of Artificial Intelligence Research / / SportsLeague Stanford University / / Technology alternating maximization algorithm / artificial intelligence / alternating-maximization algorithm / Coordination protocols / alternatingmaximization algorithm / simulation / two algorithms / / URL http / SocialTag 
Approximate Solutions For Partially Observable Stochastic Games with Common Payoffs Rosemary Emery-Montemerlo, Geoff Gordon, Jeff Schneider School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213