6514 search results - page 535 / 1303 » Low-Knowledge Algorithm Control |
162
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ICANNGA
2007
Springer
15 years 8 months ago
2007
Springer
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
178
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AGI
2008
15 years 7 months ago
2008
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
139
Voted
AAAI
1994
15 years 7 months ago
1994
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...
152
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AAAI
1994
15 years 7 months ago
1994
We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a gene...
174
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ECAI
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...