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» Learning to Control in Operational Space
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AR
2007
105views more  AR 2007»
15 years 4 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
SACMAT
2009
ACM
15 years 10 months ago
Automating role-based provisioning by learning from examples
Role-based provisioning has been adopted as a standard component in leading Identity Management products due to its low administration cost. However, the cost of adjusting existin...
Qun Ni, Jorge Lobo, Seraphin B. Calo, Pankaj Rohat...
JIRS
2000
144views more  JIRS 2000»
15 years 3 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
15 years 9 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
WCE
2007
15 years 5 months ago
Motor Management and Energy Saving by Integration of Motor Drive system
— In this paper a new-generation integral motor-drive has been demonstrated. It proposes a compact unit built to operate in arduous industrial environments with optimized power c...
M. Ektesabi, H. Felic