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Titlebook: University of Toronto Mathematics Competition (2001–2015); Edward J. Barbeau Textbook 2016 Springer International Publishing Switzerland 2

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11#
發(fā)表于 2025-3-23 12:08:15 | 只看該作者
Edward J. Barbeauach employed for learning “.”. Empirical results indicate that the learned . policy matches the best hand-coded policy for this task, and outperforms the best policy found when . is learned. We demonstrate that . and . can be learned simultaneously to realize tightly-coupled soccer team behavior.
12#
發(fā)表于 2025-3-23 16:54:42 | 只看該作者
Edward J. Barbeau data set. We describe how the data were recorded, in which format they are stored, and show the usability of the logged data in some first experiments on the recorded data sets. The data sets will be made publicly available for the RoboCup’s Standard Platform League community.
13#
發(fā)表于 2025-3-23 20:40:13 | 只看該作者
Edward J. Barbeauration 180ms, the robot can respond to the high level command in 180ms. The maximum forward speed is around 0.33m/s. The maximum backward speed is around 0.2m/s. The maximum sideways speed is around 0.11m/s. The maximum rotational speed is around 90°/s.
14#
發(fā)表于 2025-3-24 01:51:49 | 只看該作者
15#
發(fā)表于 2025-3-24 04:27:13 | 只看該作者
the most important parameters of digital cameras for robotic applications. The algorithms extract some statistical information from the acquired images, namely the intensity histogram, saturation histogram and information from a black and a white area of the image, to then estimate the colormetric p
16#
發(fā)表于 2025-3-24 08:55:56 | 只看該作者
17#
發(fā)表于 2025-3-24 13:22:23 | 只看該作者
18#
發(fā)表于 2025-3-24 15:27:56 | 只看該作者
19#
發(fā)表于 2025-3-24 19:14:46 | 只看該作者
20#
發(fā)表于 2025-3-25 02:08:00 | 只看該作者
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