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Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Finale Doshi-Velez,David Pfau,Frank Wood,Nicholas Roy
Issue Date:November 2013
pp. 1
Making intelligent decisions from incomplete information is critical in many applications: for example, robots must choose actions based on imperfect sensors, and speech-based interfaces must infer a user's needs from noisy microphone inputs. What makes th...
 
Accelerated sampling for the Indian Buffet Process
Found in: Proceedings of the 26th Annual International Conference on Machine Learning (ICML '09)
By Finale Doshi-Velez, Zoubin Ghahramani
Issue Date:June 2009
pp. 1-8
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a non-parametric prior on the features present in each observation, but current inference techniques for the IBP often scale poorly. T...
     
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