4345 search results - page 166 / 869 » Relational Reinforcement Learning |
141
Voted
KR
2004
Springer
15 years 9 months ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
152
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ML
2011
ACM
14 years 10 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
88
Voted
ECML
2004
Springer
15 years 9 months ago
2004
Springer
142
Voted
ICANN
2010
Springer
15 years 4 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
144
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ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...