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CORR
2010
Springer
96views Education» more  CORR 2010»
13 years 5 months ago
Quantifying Information Leakage in Finite Order Deterministic Programs
Information flow analysis is a powerful technique for reasoning about the sensitive information exposed by a program during its execution. While past work has proposed information...
Ji Zhu, Mudhakar Srivatsa
ICML
2006
IEEE
14 years 11 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
NIPS
2004
13 years 11 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
ICMLA
2008
13 years 11 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
ATAL
2007
Springer
14 years 2 months ago
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
David Wingate, Satinder P. Singh