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Model-Based Reinforcement Learning: Theory and Practice 譯文
時間 2020-12-30
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強化學習-最前沿
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目錄 Model-Based Reinforcement Learning: Theory and Practice Model-based techniques **Analytic gradient computation** **Sampling-based planning** **Model-based data generation** **Value-equivalence pred
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相關文章
1.
CONSENSUS:BRIDGING THEORY AND PRACTICE(第5章)
2.
CONSENSUS:BRIDGING THEORY AND PRACTICE(第6章)
3.
SIFT: Theory and Practice - Finding keypoints(轉)
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SIFT: Theory and Practice - Keypoint orientations(轉)
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Reinforcement learning and Deep learning
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practice&theory
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