Qualitative Spatial Abstraction in Reinforcement Learning
Reinforcement learning has developed as a successful learning approach for domains that are not fully understood and that are too complex to be described in closed form. However, reinforcement learning does not scale well to large and continuous problems. Furthermore, acquired knowledge specific to...
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| 企业作者: | |
| 格式: | 电子 电子书 |
| 语言: | English |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| 版: | 1st ed. 2010. |
| 丛编: | Cognitive Technologies,
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| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-642-16590-0 |
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