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v0.1
4 次代码提交 (a044e75b-cd51-4318-9769-07536d9737ef)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
Arthur Juliani
|
982fab41 | Initial commit | 7 年前 |
GitHub
|
f8a8b112 | Move epsilon generation into graph (#283) | 7 年前 |
|
GitHub
|
976c56c5 |
Environment Aesthetic Unification (#459)
* Aesthetic unification * Add new environment images |
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. |
7 年前 |