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AAAI
2011
12 years 5 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
AAAI
2008
13 years 7 months ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun
HRI
2010
ACM
13 years 12 months ago
Using proxemics to evaluate human-robot interaction
—Recent feasibility studies involving children with autism spectrum disorders (ASD) interacting with socially assistive robots have shown that children can have both positive and...
David Feil-Seifer, Maja J. Mataric
IJCAI
2007
13 years 6 months ago
Opponent Modeling in Scrabble
Computers have already eclipsed the level of human play in competitive Scrabble, but there remains room for improvement. In particular, there is much to be gained by incorporating...
Mark Richards, Eyal Amir
CONNECTION
2008
178views more  CONNECTION 2008»
13 years 5 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy