Project Papers:

Minimax Probability Machine:

• G. Lanckriet, L. El Ghaoui, C. Bhattacharyya, & M. I. Jordan. Minimax Probability Machine. Accepted for 14th Conference on Neural Information Processing Systems, Vancouver, Canada, December 3-8, 2001.

SVM Value Function and Policy Gradient RL:

• Kakade, S (2001). A natural policy gradient. NIPS 2002 [ps.gz]
• Dietterich, T. G. and Wang, X. (to appear). Batch value function approximation via support vectors. Accepted for publication in Dietterich, T. G., Becker, S., Ghahramani, Z. (Eds.) Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press. Postscript preprint.
• Baird, L. C., & Moore, A. W. (1999). "Gradient descent for general reinforcement learning". Advances in Neural Information Processing Systems 11.
  [7 pages: ps.gz | pdf | rtf | HTML]

Reinforcement Learning and Robotics (Soccer):

• G. Z. Grudic and L. H. Ungar. Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning, Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 01), August 4th - 10th, 2001, Seattle, Washington, USA (postscript)(pdf)

• G. Z. Grudic and L. H. Ungar. Localizing Search in Reinforcement Learning, Seventeenth National Conference on Artificial Intelligence (AAAI 2000), June 29 - July 2, 2000. (postscript)(pdf)
• Scaling Reinforcement Learning toward RoboCup Soccer.
  Extended version (submitted to Journal of Machine Learning Research, November 2001). Peter Stone and Richard Sutton
• Malcolm Strens, Andrew Moore Direct Policy Search using Paired Statistical Tests International Conference on Machine Learning, 2001 (ICML2001).

Active Learning for Probabilistic Classification and Clustering in Relational Data:

• Probabilistic Clustering in Relational Data, B. Taskar, E. Segal, and D. Koller. Seventeenth International Joint Conference on Artificial Intelligence, Seattle, Washington, August 2001, pages 870--876. =
• Active Learning for Structure in Bayesian Networks, S. Tong and D. Koller. Seventeenth International Joint Conference on Artificial
• Rich Probabilistic Models for Gene Expression, E. Segal, B. Taskar, A. Gasch, N. Friedman, and D. Koller. Ninth International Conference on Intelligent Systems for Molecular Biology (ISMB), Copenhagen, Denmark, June 2001, pages 243--252.