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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
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com.unity.ml-agents_1.3.0
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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
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v0.1
3 次代码提交 (c4fa3893-90d2-466e-82c8-ef37d9728162)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
Arthur Juliani
|
85ae912d |
Dev docs (#361)
New documentation structure and content. |
7 年前 |
GitHub
|
d73b6aa0 |
Update New Environment Doc (#1404)
* Simplified rewards and observations; Determined better settings for training within a reasonable amount of time. * Simplified Agent rewards; Added training section that discusses hyperparameters. * Added note about DecisionFrequency. * Updated screenshots and a small clarification in the text. * Tested and updated using v0.6. * Update a couple of images, minor text edit. * Replace with more recent training stats. * resolve a couple of minor review commnts. * Increased the recommended batch and buffer size hyperparameter values. * Fix 2 typos. |
6 年前 |
|
GitHub
|
0ff8f9af |
Create ML-Agents Package (#3267)
Convert the UnitySDK to a Packman Package. - Separate Examples into a sample project. - Move core UnitySDK Code into com.unity.ml-agents. - Create asmdefs for the ml-agents package. - Add package validation tests for win/linux/max. - Update protobuf generation scripts. - Add Barracuda as a package dependency for ML-Agents. (users no longer have to install it themselves). |
5 年前 |