Papers in AAAI, IJCAI


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  1. Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.
    by Xiaoxiao Guo, Satinder Singh, Richard Lewis, and Honglak Lee.
    In 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
    pdf.

  2. Commitment Semantics for Sequential Decision Making Under Reward Uncertainty.
    by Qi Zhang, Edmund Durfee, Satinder Singh, Anna Chen, and Stefan Witwicki.
    In 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
    pdf.

  3. On Structural Properties of MDPs that Bound Loss Due to Shallow Planning.
    by Nan Jiang, Satinder Singh and Ambuj Tewari.
    In 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
    pdf.

  4. Improving Predictive State Representations via Gradient Descent.
    by Nan Jiang, Alex Kulesza, and Satinder Singh.
    In Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
    pdf.

  5. Spectral Learning of Predictive State Representations with Insufficient Statistics.
    by Alex Kulesza, Nan Jiang, and Satinder Singh.
    In Twenty-Ninth AAAI Conference, 2015.
    pdf.

  6. Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization.
    by Alex Van Esbroeck, Satinder Singh, Ilan Rubinfeld, and Zeeshan Syed.
    In 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014.
    pdf.

  7. Predicting Postoperative Atrial Fibrillation from Independent ECG Components.
    by Chih-Chun Chia, James Blum, Zahi Karam, Satinder Singh, and Zeeshan Syed.
    In 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014.
    pdf.

  8. Security Games with Limited Surveillance
    by Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, and Yevgeniy Vorobeychik.
    In Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI), 2012.
    pdf.

  9. Computing Stackelberg Equilibria in Discounted Stochastic Games
    by Yevgeniy Vorobeychik and Satinder Singh.
    In Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI), 2012.
    pdf.
    (This is a corrected version of the paper that appeared in the conference proceedings.
    Major thanks to Vincent Conitzer for finding a counterexample to the main theorem in the now-corrected submitted version.)

  10. Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents
    by Jonathan Sorg, Satinder Singh, and Richard Lewis.
    In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI), 2011.
    pdf.

  11. Comparing Action-Query Strategies in Semi-Autonomous Agents
    by Robert Cohn, Edmund Durfee, and Satinder Singh.
    In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI), 2011.
    pdf.
    An extended abstract also appears in the Proceedings of the 10th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2011.

  12. Learning Graphical Game Models
    by Quang Duong, Yevgeniy Vorobeychik, Satinder Singh and Michael Wellman.
    In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 2009.
    pdf

  13. Maintaining Predictions Over Time Without a Model
    by Erik Talvitie and Satinder Singh.
    In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 2009.
    pdf

  14. Relational Knowledge with Predictive State Representations
    by David Wingate, Vishal Soni, Britton Wolfe and Satinder Singh.
    In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), pages 2035-2040, 2007.
    pdf

  15. An Experts Algorithm for Transfer Learning
    by Erik Talvitie and Satinder Singh.
    In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), pages 1065-1070, 2007.
    pdf

  16. Abstraction in Predictive State Representations
    by Vishal Soni and Satinder Singh.
    In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI), 2007.
    pdf

  17. Mixtures of Predictive Linear Gaussian Models for Nonlinear Stochastic Dynamical Systems
    by David Wingate and Satinder Singh.
    In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), 2006.
    pdf

  18. Using Homomorphisms to Transfer Options Across Reinforcement Learning Domains
    by Vishal Soni and Satinder Singh.
    In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), 2006.
    pdf

  19. Combining Memory and Landmarks with Predictive State Representations
    by Michael R. James, Britton Wolfe and Satinder Singh.
    In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), 2005.
    pdf

  20. Learning Payoff Functions in Infinite Games
    by Yevgeniy Vorobeychik, Michael Wellman and Satinder Singh.
    In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), 2005
    pdf
    (An expanded version was later published in the Machine Learning Journal; pdf)

  21. Planning in Models that Combine Memory with Predictive Representations of State
    by Michael R. James and Satinder Singh.
    In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI), pages 987-992, 2005.
    pdf

  22. CobotDS: A Spoken Dialogue System for Chat
    by Michael Kearns, Charles Isbell, Satinder Singh, Diane Litman, and J. Howe.
    In Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI), pages 435-430, 2002.
    pdf

  23. Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System
    by Satinder Singh, Michael Kearns, Diane Litman, and Marilyn Walker.
    In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI), pages 645-651, 2000.
    pdf

  24. Cobot in LambdaMOO: A Social Statistics Agent
    by Charles Isbell, Michael Kearns, Dave Korman, Satinder Singh and Peter Stone.
    In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI), pages 36-41, 2000.
    pdf

  25. Reinforcement Learning Algorithms for Average-Payoff Markovian Decision Processes
    by Satinder Singh.
    In Proceedings of the Twelth National Conference on Artificial Intelligence (AAAI), pages 700-705, 1994.
    pdf

  26. Reinforcement Learning with a Hierarchy of Abstract Models
    by Satinder Singh.
    In Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI), pages 202-207, 1992.
    pdf
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