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190
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
208
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
184
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
176
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ISBI
2006
IEEE
16 years 7 months ago
2006
IEEE
We present a method to analyse the variability of the spine shape using rigid transforms. The spine was expressed as a set of rigid transforms that superpose local coordinates sys...
151
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ISBI
2006
IEEE
16 years 7 months ago
2006
IEEE
In this paper, we describe the use of three different shape measures -- i.e., shape index, curvedness, and L2 norm of mean curvature -- to quantify cortical gyrification and compl...