1233 search results - page 160 / 247 » Reinforcement learning |
132
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ECAI
2006
Springer
15 years 7 months ago
2006
Springer
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
175
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JMLR
2012
13 years 6 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
147
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ICADL
2007
Springer
15 years 10 months ago
2007
Springer
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
160
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
144
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CORR
2002
Springer
15 years 3 months ago
2002
Springer
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...