Papers in UAI


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  1. Gradient Methods for Stackelberg Security Games.
    by Kareem Amin, Satinder Singh, and Michael Wellman.
    In Conference on Uncertainty in Artificial Intelligence (UAI), 2016.
    pdf.

  2. Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
    by Jonathan Sorg, Satinder Singh, and Richard Lewis.
    In Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI), 2010.
    pdf

  3. Knowledge Combination in Graphical Multiagent Models
    by Quang Duong, Michael Wellman and Satinder Singh.
    In Proceedings of the 24th Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2008.
    pdf

  4. Optimal Coordinated Planning Amongst Self-Interested Agents with Private State
    by Ruggiero Cavallo, David C. Parkes and Satinder Singh.
    In Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence (UAI), 2006.
    pdf

  5. Predictive linear-Gaussian models of stochastic dynamical systems
    by Matthew Rudary, Satinder Singh and David Wingate.
    In Proceedings of the Uncertainty in Artificial Intelligence (UAI), pages 501-508, 2005.
    pdf

  6. Predictive State Representations: A New Theory for Modeling Dynamical Systems
    by Satinder Singh, Michael R. James and Matthew R. Rudary.
    In Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference (UAI), pages 512-519, 2004.
    pdf

  7. Graphical Models for Game Theory
    by Michael Kearns, Michael Littman and Satinder Singh.
    In Proceedings of the Seventeenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), pages 253-260, 2001.
    pdf

  8. Nash Convergence of Gradient Dynamics in General-Sum Games
    by Satinder Singh, Michael Kearns and Yishay Mansour.
    In Proceedings of the Sixteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), pages 541-548, 2000.
    pdf

  9. Fast Planning in Stochastic Games
    by Michael Kearns, Yishay Mansour, and Satinder Singh
    In Proceedings of the Sixteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), pages 309-316, 2000.
    pdf

  10. Approximate Planning for Factored POMDPs using Belief State Simplification
    by Dave McAllester and Satinder Singh.
    In Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), pages 409-416, 1999.
    pdf

  11. On the Complexity of Policy Iteration
    by Yishay Mansour and Satinder Singh.
    In Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), pages 401-408, 1999.
    pdf
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