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.
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| 第一著者: | |
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| フォーマット: | 図書 |
| 言語: | English |
| 出版事項: |
Springer
2012
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| 主題: | |
| オンライン･アクセス: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30496 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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