2082 search results - page 92 / 417 » Using model knowledge for learning inverse dynamics |
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WECWIS
2003
IEEE
15 years 7 months ago
2003
IEEE
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
132
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CVPR
2008
IEEE
15 years 9 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
143
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AAAI
2011
14 years 2 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
124
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AAAI
2010
15 years 4 months ago
2010
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
138
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TNN
1998
15 years 2 months ago
1998
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...