Search Machine Learning Repository:
All publications by Satinder P. Singh
authors venues years



Internal Rewards Mitigate Agent Boundedness
Jonathan Sorg, Satinder P. Singh and Richard L. Lewis
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Reward Design via Online Gradient Ascent
Jonathan Sorg, Richard L. Lewis and Satinder P. Singh
Advances in Neural Information Processing Systems 23, 2010


Efficiently learning linear-linear exponential family predictive representations of state
David Wingate and Satinder P. Singh
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Simple Local Models for Complex Dynamical Systems
Erik Talvitie and Satinder P. Singh
Advances in Neural Information Processing Systems 21, 2008


Predictive state representations with options
Britton Wolfe and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
David Wingate and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Predictive linear-Gaussian models of controlled stochastic dynamical systems
Matthew R. Rudary and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning predictive state representations in dynamical systems without reset
Britton Wolfe, Michael R. James and Satinder P. Singh
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Off-policy Learning with Options and Recognizers
Doina Precup, Cosmin Paduraru, Anna Koop, Richard S. Sutton and Satinder P. Singh
Advances in Neural Information Processing Systems 18, 2005


Adaptive cognitive orthotics: combining reinforcement learning and constraint-based temporal reasoning
Matthew R. Rudary, Satinder P. Singh and Martha E. Pollack
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning and discovery of predictive state representations in dynamical systems with reset
Michael R. James and Satinder P. Singh
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Intrinsically Motivated Reinforcement Learning
Nuttapong Chentanez, Andrew G. Barto and Satinder P. Singh
Advances in Neural Information Processing Systems 17, 2004


Approximately Efficient Online Mechanism Design
David C. Parkes, Dimah Yanovsky and Satinder P. Singh
Advances in Neural Information Processing Systems 17, 2004


Learning Predictive State Representations
Satinder P. Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe and Peter Stone
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


A Nonlinear Predictive State Representation
Matthew R. Rudary and Satinder P. Singh
Advances in Neural Information Processing Systems 16, 2003


An MDP-Based Approach to Online Mechanism Design
David C. Parkes and Satinder P. Singh
Advances in Neural Information Processing Systems 16, 2003


An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games
Michael L. Littman, Michael J. Kearns and Satinder P. Singh
Advances in Neural Information Processing Systems 14, 2001