2103 search results - page 31 / 421 » Approximate Learning of Dynamic Models |
100
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AAAI
2008
15 years 4 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
125
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JCSS
2008
15 years 1 months ago
2008
Internet worms are classically described using SIR models and simulations, to capture the massive dynamics of the system. Here we are able to generate a differential equation-base...
107
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ICAC
2007
IEEE
15 years 8 months ago
2007
IEEE
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...
100
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SIBGRAPI
2003
IEEE
15 years 7 months ago
2003
IEEE
A physically-based deformable model proposed by Terzopoulous et al. is governed by the Lagrange’s form, that establishes the relation between the dynamics of deformable models un...
128
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ICML
1996
IEEE
15 years 6 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...