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AIPS
2003
13 years 10 months ago
A Framework for Planning in Continuous-time Stochastic Domains
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Håkan L. S. Younes, David J. Musliner, Reid ...
IANDC
2010
116views more  IANDC 2010»
13 years 7 months ago
Weak bisimulation is sound and complete for pCTL*
Abstract. We investigate weak bisimulation of probabilistic systems in the presence of nondeterminism, i.e. labelled concurrent Markov chains (LCMC) with silent transitions. We bui...
Josée Desharnais, Vineet Gupta, Radha Jagad...
ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
13 years 7 months ago
Predictive State Representations for grounding human-robot communication
— Allowing robots to communicate naturally with humans is a major goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. Ho...
Eric Meisner, Sanmay Das, Volkan Isler, Jeff Trink...
AAAI
2011
12 years 8 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
SPAA
2009
ACM
14 years 9 months ago
On randomized representations of graphs using short labels
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting mere...
Pierre Fraigniaud, Amos Korman