Now showing items 1-2 of 2

    • Efficient selection of disambiguating actions for stereo vision 

      Schaeffer, Monika (2010)
      In many domains that involve the use of sensors, such as robotics or sensor networks, there are opportunities to use some form of active sensing to disambiguate data from noisy or unreliable sensors. These disambiguating ...
    • Non-parametric approximate linear programming for MDPs 

      Pazis, Jason (2012)
      One of the most difficult tasks in value function based methods for learning in Markov Decision Processes is finding an approximation architecture that is expressive enough to capture the important structure in the value ...