Papers

More information about research areas is available in research descriptions. You also can view papers by partially overlapping categories

• Papers in reverse chronological order,
• Machine learning (inference,semi-supervised)
• Computational biology,
• Information retrieval,
• Reinforcement learning

Reinforcement learning papers

• S. Singh, T. Jaakkola, M. Littman, and C. Szepesvari.
  Convergence results for single-step on-policy reinforcement-learning algorithms.
  Machine Learning, 38(3):287, 2000.
  [postscript], [gzipped postscript]

• S. Singh, T. Jaakkola, and M. Jordan.
  Reinforcement learning with soft state aggregation.
  In Advances in Neural Information Processing Systems 7, 1994.
  [postscript], [gzipped postscript]

• T. Jaakkola, S. Singh, and M. Jordan.
  Reinforcement learning algorithm for partially observable markov decision problems.
  In Advances in Neural Information Processing Systems 7, 1994.
  [postscript], [gzipped postscript]

• S. Singh, T. Jaakkola, and M. Jordan.
  Learning without state estimation in partially observable environments.
  In Proceedings of the Eleventh Machine Learning Conference, 1994.
  [postscript], [gzipped postscript]

• T. Jaakkola, M. Jordan, and S. Singh.
  On the convergence of stochastic iterative dynamic programming algorithms.
  Neural Computation, 6(6):1185--1201, 1994.
  [postscript], [gzipped postscript]

• T. Jaakkola, M. Jordan, and S. Singh.
  Convergence of stochastic iterative dynamic programming algorithms.
  In Advances in Neural Information Processing Systems 6, 1993.
  [postscript], [gzipped postscript]