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» Learning from Partial Observations
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140
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ICML
1995
IEEE
16 years 2 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...
AAAI
2011
14 years 1 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
ICML
2009
IEEE
16 years 2 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
97
Voted
AIPS
2000
15 years 3 months ago
Learning Planning Operators in Real-World, Partially Observable Environments
Matthew D. Schmill, Tim Oates, Paul R. Cohen