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0.7.0
0.8.0
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0.9.0
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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
com.unity.ml-agents_1.0.4
com.unity.ml-agents_1.0.5
com.unity.ml-agents_1.0.6
com.unity.ml-agents_1.0.7
com.unity.ml-agents_1.0.8
com.unity.ml-agents_1.1.0
com.unity.ml-agents_1.2.0
com.unity.ml-agents_1.3.0
com.unity.ml-agents_1.4.0
com.unity.ml-agents_1.5.0
com.unity.ml-agents_1.6.0
com.unity.ml-agents_1.7.0
com.unity.ml-agents_1.7.2
com.unity.ml-agents_1.8.0
com.unity.ml-agents_1.8.1
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
7 次代码提交 (70cbf48a-91d7-4b1a-bd98-60ad226435fe)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
GitHub
|
51621334 |
State Stacking & Banan Environment (#262)
* Add support for stacking past n states to allow network to learn temporal dependencies. * Add Banana Collector environment for demonstrating partially observable multi-agent environments. * Add 3DBall Hard which lacks velocity information in state representation. Used as test for LSTM and state-stacking features. * Rework Tennis environment to be continuous control and trainable in 100k steps. |
7 年前 |
|
GitHub
|
8317a659 |
Behavioral Cloning & Trainers Reorg (#328)
* Implement behavioral cloning for cc/dc, fc/rnn, state/observations. * Re-organize folder structure in anticipation of unitytrainers as a package. * Create demo environment BananaImitation to validate behavioral cloning. * Fixes #336 |
7 年前 |
Vincent Gao
|
38bd3e40 | replaced all the tabs to 4 spaces in the project | 7 年前 |
Ervin T
|
b4675aa0 |
Fix respawn part of BananaLogic (#2277)
Fix the bug of "respawn" part that cause all the banana respawn in the first Area. |
5 年前 |
|
GitHub
|
88b917b3 | [format] Format code whitespace with Unity Formatter. (#2550) | 5 年前 |
|
GitHub
|
f01dd1c1 | [coding conventions] Change c# code to be compliant with Unity coding conventions. (#2555) | 5 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 |