14 search results - page 1 / 3 » Closing the learning-planning loop with predictive state rep... |
ATAL
2010
Springer
13 years 5 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
AAAI
2011
12 years 4 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
UAI
2004
13 years 5 months ago
2004
Modeling dynamical systems, both for control purposes and to make predictions about their behavior, is ubiquitous in science and engineering. Predictive state representations (PSR...
IJMI
2002
13 years 4 months ago
2002
Representation of clinical practice guidelines in a computer-interpretable format is a critical issue for guideline development, implementation, and evaluation. We studied 11 type...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
Abstract-- Many tracking problems are split into two subproblems, first a smooth reference trajectory is generated that meet the control design objectives, and then a closed loop c...