Matt Rudary

Software Engineer, Google

I'm a software engineer. I used to be a grad student in artificial intelligence at the University of Michigan.

Here's my archival papers:

M. Rudary and S. Singh (2006). Predictive linear-Gaussian models of controlled stochastic dynamical systems. In Cohen, W. & Moore, A. (Eds.), Proceedings of the 23rd International Conference on Machine Learning, pp. 777–784. pdf

M. Rudary, D. Khosla, J. Guillochon, P. A. Dow and B. J. Blyth (2006). A sparse sampling planner for sensor resource management. In Kadar, I. (Ed.), Proceedings of the SPIE Vol. 6235: Signal Processing, Sensor Fusion, and Target Recognition XV, pp. 62350A-1–62350A-9. pdf

M. Rudary, S. Singh and D. Wingate (2005). Predictive linear-Gaussian models of stochastic dynamical systems. In Bacchus, F. & Jaakkola, T. (Eds.) Uncertainty in Artificial Intelligence 21, pp. 501–508. pdf

S. Singh, M. R. James and M. Rudary (2004). Predictive state representations: A new theory for modeling dynamical systems. In Chickering, M. & Halpern, J. (Eds.), Uncertainty in Artificial Intelligence 20, pp. 512–519. pdf

M. Rudary, S. Singh and M. Pollack (2004). Adaptive cognitive orthotics: Combining reinforcement learning and constraint-based temporal reasoning. In Greiner, R. & Schuurmans, D. (Eds.), Proceedings of the 21st International Conference on Machine Learning, pp. 719–726. pdf

C. Kiekintveld, M. P. Wellman, S. Singh, J. Estelle, Y. Vorobeychik, V. Soni and M. Rudary (2004). Distributed feedback control for decision making on supply chains. In Zilberstein, S., Koehler, J., & Koenig, S. (Eds.), Proceedings of the 14th International Conference on Automated Planning and Scheduling, pp. 384–392. pdf

M. Rudary and S. Singh (2004). A nonlinear predictive state representation. In Thrun, S., Saul, L. K., & Schölkopf, B. (Eds.), Advances in Neural Information Processing Systems 16, pp. 855–862. pdf

Here's a couple non-archival papers:

M. Rudary and S. Singh (2008). Predictive Linear-Gaussian Models of Dynamical Systems with Vector-Valued Actions and Observations. In Proceedings of the Tenth International Symposium on Artificial Intelligence and Math. pdf

M. Rudary, S. Singh and M. Pollack. Reinforcement learning for adaptive cognitive orthotics. In Supervisory Control of Learning and Adaptive Systems: Papers from the AAAI Workshop, 2004. pdf

Valid XHTML 1.0 Strict