2373 search results - page 176 / 475 » Complexities for generalized models of self-assembly |
166
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
167
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ATAL
2005
Springer
15 years 12 months ago
2005
Springer
This paper describes how cognitive modeling can be exploited in the design of software agents that support naval training sessions. The architecture, specifications, and embedding...
157
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PPSN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
224
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
181
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GLVLSI
2008
IEEE
16 years 29 days ago
2008
IEEE
Due to the increasing complexity of today’s embedded systems, the analysis and validation of such systems is becoming a major challenge. UML is gradually adopted in the embedded...