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» Learning Application Models for Utility Resource Planning
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IJCAI
2007
13 years 10 months ago
Towards Reasoning about the Past in Neural-symbolic Systems
Reasoning about the past is of fundamental importance in several applications in computer science and artificial intelligence, including reactive systems and planning. In this pa...
Rafael V. Borges, Luís C. Lamb, Artur S. d'...
VLC
2010
156views more  VLC 2010»
13 years 3 months ago
Visual instructional design languages
Submission Deadline: December 14, 2009 The Journal of Visual Languages and Computing (http://www.elsevier.com/locate/jvlc, impact factor: 0.863) invites authors to submit papers fo...
Manuel Caeiro Rodríguez, Michael Derntl, Lu...
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
14 years 2 months ago
Gait Generation for Passive Running via Iterative Learning Control
Abstract— This paper proposes a novel framework to generate optimal passive gait trajectories for a planar one-legged hopping robot via iterative learning control. The proposed m...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
14 years 2 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
NIPS
1997
13 years 10 months ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr