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45
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NN
2010
Springer
187
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Neural Networks
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NN 2010
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Efficient exploration through active learning for value function approximation in reinforcement learning
13 years 7 months ago
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sugiyama-www.cs.titech.ac.jp
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
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