250 search results - page 24 / 50 » Learning action effects in partially observable domains |
ICIA
2007
14 years 12 months ago
2007
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In our earlier wor...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
AAAI
1998
14 years 11 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...