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com.unity.ml-agents_1.0.0
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com.unity.ml-agents_2.0.0
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v0.1
4 次代码提交 (3d5f4e35-8403-4171-a3a3-1f42c06293c4)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
Arthur Juliani
|
982fab41 | Initial commit | 7 年前 |
GitHub
|
00534390 |
Refactored GridWorld (#225)
Greatly simplified GridWorld code. It now also only uses a visual observation rather than state vector in order to demonstrate learning purely from a visual input. |
7 年前 |
|
GitHub
|
bebdb293 |
ML-Agents Branding & Color Updates (#2583)
* new env styles rebased on develop * added new trained models * renamed food collector platforms * reduce training timescale on WallJump from 100 to 10 * uncheck academy control on walljump * new banner image * rename banner file * new example env images * add foodCollector image * change Banana to FoodCollector and update image * change bouncer description to include green cube * update image * update gridworld image * cleanup prefab names and tags * updated soccer env to reference purple agent instead of red * remove unused mats * rename files * remove more unused tags * update image * change platform to agent cube * update text. change platform to agents head * cleanup * cleaned up weird unused meta files * add new wall jump nn files and rename a prefab * walker change stacked states from 5 to 1 walker collects physics observations so stacked states are not need... |
5 年前 |
Jonathan Harper
|
5906cd61 |
WIP dump - working prototype
Updates to CameraSensor / CameraSensorComponent: * new settings object to set up layer masks, depth, etc * support for arbitrary # channels returned by the sensor * channels include depth, layer mask, RGB, or grayscale Updates to VisualFoodCollector: * food doesn't roll (for now), simplifies learning without stacking * added layers Updates to mlagents_envs: * decode multiple pngs packed into a single observation |
4 年前 |