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1511588d
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0.1.1
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0.11.0.dev0
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0.13.1
0.14.0
0.14.1
0.15.0
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0.8.0
0.8.1
0.8.2
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0.9.1
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0.9.3
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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python-packages_0.18.0
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v0.1
2 次代码提交 (1511588d-bc95-4731-b74a-94a7ba562403)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
GitHub
|
9c50abcf |
GAIL and Pretraining (#2118)
Based on the new reward signals architecture, add BC pretrainer and GAIL for PPO. Main changes: - A new GAILRewardSignal and GAILModel for GAIL/VAIL - A BCModule component (not a reward signal) to do pretraining during RL - Documentation for both of these - Change to Demo Loader that lets you load multiple demo files in a folder - Example Demo files for all of our tested sample environments (for future regression testing) |
5 年前 |
|
GitHub
|
1fa07edb | Remove Standalone Offline BC Training (#2969) | 5 年前 |