Structural Return Maximization for Reinforcement Learning

no code implementations • 12 May 2014 • Joshua Joseph, Javier Velez, Nicholas Roy

Batch Reinforcement Learning (RL) algorithms attempt to choose a policy from a designer-provided class of policies given a fixed set of training data.

Learning Theory reinforcement-learning +1

Modelling Observation Correlations for Active Exploration and Robust Object Detection

no code implementations • 18 Jan 2014 • Javier Velez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy

In particular, the performance of detection algorithms is commonly sensitive to the position of the sensor relative to the objects in the scene.

object-detection Robust Object Detection +1