ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— 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...
NIPS
2003
13 years 5 months ago
2003
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
AAAI
2006
13 years 5 months ago
2006
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
FLAIRS
2008
13 years 6 months ago
2008
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...
ATAL
2007
Springer
13 years 8 months ago
2007
Springer
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...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE