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com.unity.ml-agents_1.0.0
com.unity.ml-agents_1.0.2
com.unity.ml-agents_1.0.3
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com.unity.ml-agents_1.9.0
com.unity.ml-agents_1.9.1
com.unity.ml-agents_2.0.0
com.unity.ml-agents_2.1.0
latest_release
python-packages_0.16.0
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v0.1
4 次代码提交 (799bbad1-eea2-4377-a35e-f15c99317203)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
vincentpierre
|
22db3d64 | added the modified files from dev-cooperative-env | 7 年前 |
Arthur Juliani
|
22d931c0 | Add comments to Reacher and re-train model w/ epsilon needed | 7 年前 |
Vincent Gao
|
3a9f500b |
Updated the Reacher's model file, also updated the Reacher's agent code from eulerAngle to quaternion
Updated the Reacher's model file, also updated the Reacher's agent code from eulerAngle to quaternion |
7 年前 |
GitHub
|
3b866e9f |
Use Clipped Gaussian (#649)
This PR makes the following changes: * Moves clipping of continuous control model into model itself. Output is now always [-1, 1]. * Internal model values are now clipped between [-3, 3] before being rescaled to [-1, 1] for output. * This improves training performance by providing a wider range of values within which the pdf of the gaussian can fall. Output of [-1, 1] is used to be more environment-creator friendly. * Fixes issue where epsilon was erroneously being used to reconstruct old probabilities during PPO update, leading to reduced learning performance. * Introduce ScaleAction() function within python to easily rescale values from [-1, 1] to arbitrary range. * Re-train all CC models using improved algorithm. All performance levels are equal or improved. In the case of Crawler, improvement is drastic. * Update documentation appropriately. * Made miscellaneous minor code style and optimization improvements within environments. |
6 年前 |