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» Learning from Partial Observations
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147
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ICML
1995
IEEE
16 years 3 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
175
Voted
AAAI
2011
14 years 2 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
IJCAI
2007
15 years 3 months ago
Inferring Complex Agent Motions from Partial Trajectory Observations
Finnegan Southey, Wesley Loh, Dana F. Wilkinson
126
Voted
ICML
2009
IEEE
16 years 3 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do