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» Iterative Learning Control - Monotonicity and Optimization
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ECAI
2006
Springer
15 years 1 months ago
Patch Learning for Incremental Classifier Design
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
Rudy Sicard, Thierry Artières, Eric Petit
AAAI
2012
13 years 6 days ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
CIRA
2007
IEEE
113views Robotics» more  CIRA 2007»
15 years 4 months ago
Development of Control for a Serpentine Robot
—This paper describes the development and testing of control of the OmniTread OT-4 robot by the Seventh Generation (7G) Control System. Control of OT-4 was developed in the Yobot...
William R. Hutchison, Betsy J. Constantine, Johann...
ECAI
2008
Springer
14 years 11 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 8 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal