449 search results - page 21 / 90 » Finding Structure in Reinforcement Learning |
185
Voted
JMLR
2010
14 years 10 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
142
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DAGM
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
114
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AUSAI
2008
Springer
15 years 5 months ago
2008
Springer
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
118
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EMNLP
2007
15 years 5 months ago
2007
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
124
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SLOGICA
2008
15 years 3 months ago
2008
We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular,...