STatistical AI Reading Group previous readings: February-May, 2006
- Feb 24th (Stairmaster: Amit):
Matthijs T. J. Spaan and Nikos Vlassis
Perseus: Randomized point based value iteration for POMDPs
Journal of Artificial Intelligence Research, 24:195-220, 2005.
- Mar 10th
LLVG Talk: Eyal Amir
Learning Partially Observable Action Models
3:00-4:00 PM, Seminar Room 32-G449 (Kiva/Patil)
- Mar 24th (Stairmaster: Meg):
S. Ullman, B. Epshtein
Visual Classification by a Hierarchy of Extended Features
Towards Category-Level Object Recognition, Lecture
Notes on Computer Science, (c) 2006, Springer-Verlag.
- Apr 7th (Stairmaster: Natalia):
Wang, T., Lizotte, D., Bowling, M. and Schuurmans, D.
Bayesian sparse sampling for on-line reward optimization.
In International Conference on Machine Learning (ICML-05)
- Apr 21st (Stairmaster: Emma):
Satinder Singh, Michael R. James and Matthew R. Rudary.
Predictive State Representations: A New Theory for Modeling Dynamical Systems
In Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference (UAI), pages 512-519, 2004.
- May 5th (Stairmaster: Luke):
Solving POMDPs with Continuous or Large Discrete Observation Spaces.
Jesse Hoey, Pascal Poupart
In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05)