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143
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ROBOCUP
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
135
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IJCAI
1989
15 years 5 months ago
1989
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
178
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BMCBI
2011
14 years 7 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
183
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SDM
2012
SIAM
13 years 6 months ago
2012
SIAM
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
100
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...