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com.unity.ml-agents_1.0.0
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v0.1
9 次代码提交 (eb90772f-4aea-48f5-a82d-2d3a0d2fde92)
作者 | SHA1 | 备注 | 提交日期 |
---|---|---|---|
GitHub | 4a7481a1 |
RayPercpetion, Push Block, and misc environment changes (#432)
RayPerception moved to a component that is now used by Banana, Soccer, Hallway, and Push Block. Converted Push Block to use RayPerception for local perception and retrained model. Re-worked Hallway to be more extensible. |
7 年前 |
GitHub | 976c56c5 |
Environment Aesthetic Unification (#459)
* Aesthetic unification * Add new environment images |
7 年前 |
GitHub | c1e930b5 |
Minor Visual Changes for Environments (#470)
* Minor changes to ensure a common visual language. * Agents are blue (or additionally red in competitive scenarios). * Interactable objects are orange. * Goals are green when objects, and checkerboards when places. * Not everything perfectly follows this, but things are mostly consistent now. * Renamed "Banana" folder to "BananaCollectors" * Ensured all brains were set to "Player" * Moved non-shared assets out of the "SharedAssets" folder. |
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 |
GitHub | 9ab98584 |
Additional Environment Variations (#791)
* Add Visual (Camera) and Imitation Learning variations to example environments |
7 年前 |
GitHub | 0c417c55 | Release v0.5 (#1202) | 6 年前 |
Vincent(Yuan) Gao | e8a226a0 | Added 3DBall, Banana, Basic, Walker, Hallway and PushBlock (#1312) | 6 年前 |
vincentpierre | 5c060417 |
Added PushBlock models, fixed trainer config and fixed Learning brain asset (#1344)
* Added PushBlock models, fixed trainer config and fixed Learning brain asset * Fixed PushBlock model to be in correct place * Added BananaLearning, deleted bytes files for PushBlock, fixed PushBlockLearning.asset * Deleted stray file * Added WallJumpArea training mods * Fixed Banana collector |
6 年前 |
vincentpierre | 09657954 | Made the default brains of the BananaRL prefab the Player brain | 6 年前 |