4255 search results - page 443 / 851 » On Learning Boolean Functions |
191
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ILP
2003
Springer
15 years 12 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
189
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ICANN
1997
Springer
15 years 11 months ago
1997
Springer
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
201
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EVOW
1994
Springer
15 years 11 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
172
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CIDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
160
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ADMA
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...